Jiawei Han

According to our database1, Jiawei Han authored at least 857 papers between 1985 and 2019.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2003, "For contributions in knowledge discovery and data mining.".

IEEE Fellow

IEEE Fellow 2009, "For contributions to data mining and knowledge discovery".

Timeline

Legend:

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Homepages:

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Bibliography

2019
Integrating Local Context and Global Cohesiveness for Open Information Extraction.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2018

Role Discovery.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Ranking Methods for Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Pattern-Growth Methods.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Frequent Itemsets and Association Rules.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Stream Mining.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Data Mining.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Towards Quality Aware Information Integration in Distributed Sensing Systems.
IEEE Trans. Parallel Distrib. Syst., 2018

SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2018

Automated Phrase Mining from Massive Text Corpora.
IEEE Trans. Knowl. Data Eng., 2018

DPPred: An Effective Prediction Framework with Concise Discriminative Patterns.
IEEE Trans. Knowl. Data Eng., 2018

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
ACM TIST, 2018

pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data.
IEEE Trans. Big Data, 2018

Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks.
Data Min. Knowl. Discov., 2018

Open Information Extraction with Global Structure Constraints.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Indirect Supervision for Relation Extraction using Question-Answer Pairs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

On the Power of Massive Text Data.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Annotating gene sets by mining large literature collections with protein networks.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Multi-Domain Integration and Correlation Engine.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dynamic Truth Discovery on Numerical Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights.
Proceedings of the IEEE International Conference on Data Mining, 2018

Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Learning Named Entity Tagger using Domain-Specific Dictionary.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Investigating Rumor News Using Agreement-Aware Search.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Weakly-Supervised Neural Text Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Open-Schema Event Profiling for Massive News Corpora.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Open Information Extraction with Meta-pattern Discovery in Biomedical Literature.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Empower Sequence Labeling with Task-Aware Neural Language Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Phrase Mining from Massive Text and Its Applications
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2017

Quality Threshold Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Partitional Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Mean Shift.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Locality Sensitive Hashing Based Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

K-Way Spectral Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

K-Medoids Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

K-Means Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Expectation Maximization Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

OLAP, Spatial.
Proceedings of the Encyclopedia of GIS., 2017

Embedding Learning with Events in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2017

Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
Journal of Computational Biology, 2017

Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning.
Proceedings of the 26th International Conference on World Wide Web, 2017

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases.
Proceedings of the 26th International Conference on World Wide Web, 2017

Constructing Structured Information Networks from Massive Text Corpora.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

PRED: Periodic Region Detection for Mobility Modeling of Social Media Users.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Comparative Document Analysis for Large Text Corpora.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Mining Structures from Massive Text Data: A Data-Driven Approach.
Proceedings of the 4th Annual International Symposium on Information Management and Big Data, 2017

Building Structured Databases of Factual Knowledge from Massive Text Corpora.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Construction of Structured Heterogeneous Networks from Massive Text Data: Extended Abstract.
Proceedings of the 2nd International Workshop on Network Data Analytics, 2017

ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Automatic Synonym Discovery with Knowledge Bases.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

MetaPAD: Meta Pattern Discovery from Massive Text Corpora.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Mining structures from massive text data: will it help software engineering?
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Identifying Semantically Deviating Outlier Documents.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Detecting Multiple Periods and Periodic Patterns in Event Time Sequences.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Unsupervised Concept Categorization and Extraction from Scientific Document Titles.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2016

Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream.
IEEE Trans. Knowl. Data Eng., 2016

World Knowledge as Indirect Supervision for Document Clustering.
TKDD, 2016

A probabilistic approach to detect mixed periodic patterns from moving object data.
GeoInformatica, 2016

Multi-Dimensional, Phrase-Based Summarization in Text Cubes.
IEEE Data Eng. Bull., 2016

Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Automatic Entity Recognition and Typing in Massive Text Corpora.
Proceedings of the 25th International Conference on World Wide Web, 2016

Representing Documents via Latent Keyphrase Inference.
Proceedings of the 25th International Conference on World Wide Web, 2016

Entity Disambiguation with Linkless Knowledge Bases.
Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Knowledge Fragment Enrichment Using Domain Knowledge Base.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Automatic Entity Recognition and Typing in Massive Text Data.
Proceedings of the 2016 International Conference on Management of Data, 2016

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016


GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Reliable Information from Passively and Actively Crowdsourced Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Hostname Preference to Enhance Search Relevance.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Community Cores: Removing Size Bias from Community Detection.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Large-Scale Embedding Learning in Heterogeneous Event Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

FastHybrid: A Hybrid Model for Efficient Answer Selection.
Proceedings of the COLING 2016, 2016

Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

FacetGist: Collective Extraction of Document Facets in Large Technical Corpora.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On the power of big data: Mining structures from massive, unstructured text data.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

On predicting social unrest using social media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Downside management in recommender systems.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Liberal Event Extraction and Event Schema Induction.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Text Classification with Heterogeneous Information Network Kernels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

EKNOT: Event Knowledge from News and Opinions in Twitter.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Mining Latent Entity Structures
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2015

Power-Based Diagnosis of Node Silence in Remote High-End Sensing Systems.
TOSN, 2015

Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions.
IEEE Trans. Knowl. Data Eng., 2015

ePeriodicity: Mining Event Periodicity from Incomplete Observations.
IEEE Trans. Knowl. Data Eng., 2015

A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness.
IEEE Trans. Knowl. Data Eng., 2015

A Framework of Mining Trajectories from Untrustworthy Data in Cyber-Physical System.
TKDD, 2015

Mining Trajectory Data and Geotagged Data in Social Media for Road Map Inference.
Trans. GIS, 2015

A Survey on Truth Discovery.
SIGKDD Explorations, 2015

Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
PVLDB, 2015

Constructing topical hierarchies in heterogeneous information networks.
Knowl. Inf. Syst., 2015

KnowEnG: a knowledge engine for genomics.
JAMIA, 2015

Mining strong relevance between heterogeneous entities from unstructured biomedical data.
Data Min. Knowl. Discov., 2015

Leveraging Pattern Semantics for Extracting Entities in Enterprises.
Proceedings of the 24th International Conference on World Wide Web, 2015

Network A/B Testing: From Sampling to Estimation.
Proceedings of the 24th International Conference on World Wide Web, 2015

On Integrating Network and Community Discovery.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Mining Quality Phrases from Massive Text Corpora.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Robust Classification of Information Networks by Consistent Graph Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Fast Inbound Top-K Query for Random Walk with Restart.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Debiasing Crowdsourced Batches.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Modeling Truth Existence in Truth Discovery.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Discovery of Evolving Truth.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

TOPTRAC: Topical Trajectory Pattern Mining.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Query-Based Outlier Detection in Heterogeneous Information Networks.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Context-aware Entity Morph Decoding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Successful Data Mining Methods for NLP.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Outlier Detection for Temporal Data
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2014

Role Discovery.
Encyclopedia of Social Network Analysis and Mining, 2014

Ranking Methods for Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

Troubleshooting interactive complexity bugs in wireless sensor networks using data mining techniques.
TOSN, 2014

Co-Evolution of Multi-Typed Objects in Dynamic Star Networks.
IEEE Trans. Knowl. Data Eng., 2014

Outlier Detection for Temporal Data: A Survey.
IEEE Trans. Knowl. Data Eng., 2014

Uncovering deception in social media.
Social Netw. Analys. Mining, 2014

Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks.
Statistical Analysis and Data Mining, 2014

Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories.
PVLDB, 2014

MoveMine 2.0: Mining Object Relationships from Movement Data.
PVLDB, 2014

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
PVLDB, 2014

Scalable Topical Phrase Mining from Text Corpora.
PVLDB, 2014

A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression.
BMC Bioinformatics, 2014

Learning to efficiently rank on big data.
Proceedings of the 23rd International World Wide Web Conference, 2014

A hierarchical Dirichlet model for taxonomy expansion for search engines.
Proceedings of the 23rd International World Wide Web Conference, 2014

Personalized entity recommendation: a heterogeneous information network approach.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

On building entity recommender systems using user click log and freebase knowledge.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Leveraging periodicity in human mobility for next place prediction.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Batch-Mode Active Learning via Error Bound Minimization.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

NewsNetExplorer: automatic construction and exploration of news information networks.
Proceedings of the International Conference on Management of Data, 2014

A probabilistic model for linking named entities in web text with heterogeneous information networks.
Proceedings of the International Conference on Management of Data, 2014

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
Proceedings of the International Conference on Management of Data, 2014

Mining latent entity structures from massive unstructured and interconnected data.
Proceedings of the International Conference on Management of Data, 2014

Local Learning for Mining Outlier Subgraphs from Network Datasets.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Generalized Decision Aggregation in Distributed Sensing Systems.
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014

Scalable Moment-Based Inference for Latent Dirichlet Allocation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Robust Tensor Decomposition with Gross Corruption.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Towards scalable critical alert mining.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

ClusCite: effective citation recommendation by information network-based clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Bringing structure to text: mining phrases, entities, topics, and hierarchies.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Online Spectral Learning on a Graph with Bandit Feedback.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Top-K interesting subgraph discovery in information networks.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Privacy Risk in Anonymized Heterogeneous Information Networks.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding.
Proceedings of the COLING 2014, 2014

Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Regularized l1-Graph for Data Clustering.
Proceedings of the British Machine Vision Conference, 2014

Be Appropriate and Funny: Automatic Entity Morph Encoding.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Sequential Pattern Mining.
Proceedings of the Frequent Pattern Mining, 2014

Pattern-Growth Methods.
Proceedings of the Frequent Pattern Mining, 2014

Mining Graph Patterns.
Proceedings of the Frequent Pattern Mining, 2014

Probabilistic Models for Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

Active Learning: A Survey.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Perspective on Measurement Metrics for Community Detection Algorithms.
Proceedings of the Mining Social Networks and Security Informatics, 2013

The parallel path framework for entity discovery on the web.
TWEB, 2013

On Exploiting Transient Social Contact Patterns for Data Forwarding in Delay-Tolerant Networks.
IEEE Trans. Mob. Comput., 2013

Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.
IEEE Trans. Knowl. Data Eng., 2013

Reinforced Similarity Integration in Image-Rich Information Networks.
IEEE Trans. Knowl. Data Eng., 2013

Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network.
IEEE Trans. Knowl. Data Eng., 2013

A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models.
IEEE Trans. Knowl. Data Eng., 2013

PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks.
TKDD, 2013

A framework of traveling companion discovery on trajectory data streams.
ACM TIST, 2013

MiTexCube: MicroTextCluster Cube for online analysis of text cells and its applications.
Statistical Analysis and Data Mining, 2013

Feature selection using dynamic weights for classification.
Knowl.-Based Syst., 2013

Trustworthiness analysis of sensor data in cyber-physical systems.
J. Comput. Syst. Sci., 2013

Selection of interdependent genes via dynamic relevance analysis for cancer diagnosis.
Journal of Biomedical Informatics, 2013

Mining collective intelligence in diverse groups.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploring structure and content on the web: extraction and integration of the semi-structured web.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Research-insight: providing insight on research by publication network analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Multi-View Clustering via Joint Nonnegative Matrix Factorization.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

On the Detectability of Node Grouping in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Text Cube Approach to Human, Social and Cultural Behavior in the Twitter Stream.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Recommendation in heterogeneous information networks with implicit user feedback.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Community Distribution Outlier Detection in Heterogeneous Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Social patterns: Community detection using behavior-generated network datasets.
Proceedings of the 2nd IEEE Network Science Workshop, 2013

Research on the Construction of Dynamic Chinese Natural Sign Language Corpus.
Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013

A phrase mining framework for recursive construction of a topical hierarchy.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

EventCube: multi-dimensional search and mining of structured and text data.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Ranking-based name matching for author disambiguation in bibliographic data.
Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Mining evidences for named entity disambiguation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Spatiotemporal periodical pattern mining in traffic data.
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 2013

Selective sampling on graphs for classification.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Large-Scale Spectral Clustering on Graphs.
Proceedings of the IJCAI 2013, 2013

Constructing Topical Hierarchies in Heterogeneous Information Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Semantic Frame-Based Document Representation for Comparable Corpora.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

gIceberg: Towards iceberg analysis in large graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Inferring human mobility patterns from taxicab location traces.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Content coverage maximization on word networks for hierarchical topic summarization.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Channeling the deluge: research challenges for big data and information systems.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

An exploration of discussion threads in social news sites: a case study of the Reddit community.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

On detecting association-based clique outliers in heterogeneous information networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Clustered Support Vector Machines.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Unsupervised Link Selection in Networks.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

MedRank: Discovering Influential Medical Treatments from Literature by Information Network Analysis.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

Resolving Entity Morphs in Censored Data.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A Survey of RFID Data Processing.
Proceedings of the Managing and Mining Sensor Data, 2013

A Survey of Datamining Methods for Sensor Network Bug Diagnosis.
Proceedings of the Managing and Mining Sensor Data, 2013

Efficient Direct Mining of Selective Discriminative Patterns for Classification.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

Spectral Clustering.
Data Clustering: Algorithms and Applications, 2013

Probabilistic Models for Clusterings.
Data Clustering: Algorithms and Applications, 2013

2012
Mining Heterogeneous Information Networks: Principles and Methodologies
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2012

Locally Discriminative Coclustering.
IEEE Trans. Knowl. Data Eng., 2012

Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling.
ACM TIST, 2012

Mining heterogeneous information networks: a structural analysis approach.
SIGKDD Explorations, 2012

A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration.
PVLDB, 2012

Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach.
PVLDB, 2012

Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes.
PVLDB, 2012

Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web.
Proceedings of the IEEE, 2012

Mining diversity on social media networks.
Multimedia Tools Appl., 2012

A Variance Minimization Criterion to Active Learning on Graphs.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Locality Preserving Feature Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

RankCompete: Simultaneous ranking and clustering of information networks.
Neurocomputing, 2012

Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach.
IJDSN, 2012

Learning influence from heterogeneous social networks.
Data Min. Knowl. Discov., 2012

Mining periodic behaviors of object movements for animal and biological sustainability studies.
Data Min. Knowl. Discov., 2012

BlueFinder: estimate where a beach photo was taken.
Proceedings of the 21st World Wide Web Conference, 2012

When will it happen?: relationship prediction in heterogeneous information networks.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Construction of Web-Based, Service-Oriented Information Networks: A Data Mining Perspective - (Abstract).
Proceedings of the Web-Age Information Management - 13th International Conference, 2012

SocialCube: A Text Cube Framework for Analyzing Social Media Data.
Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012

Optimizing index for taxonomy keyword search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Citation Prediction in Heterogeneous Bibliographic Networks.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Evaluating Event Credibility on Twitter.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks.
Proceedings of the 33rd IEEE Real-Time Systems Symposium, 2012

Community Trend Outlier Detection Using Soft Temporal Pattern Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Selective Labeling via Error Bound Minimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Query-driven discovery of semantically similar substructures in heterogeneous networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Integrating meta-path selection with user-guided object clustering in heterogeneous information networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Event-based social networks: linking the online and offline social worlds.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mining event periodicity from incomplete observations.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Parallel field ranking.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Integrating community matching and outlier detection for mining evolutionary community outliers.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Modeling and exploiting heterogeneous bibliographic networks for expertise ranking.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.
Proceedings of the 29th International Conference on Machine Learning, 2012

Predicting Links in Multi-relational and Heterogeneous Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

ETM: Entity Topic Models for Mining Documents Associated with Entities.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Towards Active Learning on Graphs: An Error Bound Minimization Approach.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

On Discovery of Traveling Companions from Streaming Trajectories.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Multidimensional Analysis of Atypical Events in Cyber-Physical Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Mining Knowledge from Data: An Information Network Analysis Approach.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Building enriched web page representations using link paths.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

Tweet Ranking Based on Heterogeneous Networks.
Proceedings of the COLING 2012, 2012

Analysis and Refinement of Cross-Lingual Entity Linking.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics, 2012

User guided entity similarity search using meta-path selection in heterogeneous information networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Document-topic hierarchies from document graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Efficient mining of correlated sequential patterns based on null hypothesis.
Proceedings of the 2012 international workshop on Web-scale knowledge representation, 2012

Predicting future popularity trend of events in microblogging platforms.
Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

Probabilistic Models for Text Mining.
Proceedings of the Mining Text Data, 2012

2011
Speed up kernel discriminant analysis.
VLDB J., 2011

Cloud-based malware detection for evolving data streams.
ACM Trans. Management Inf. Syst., 2011

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints.
IEEE Trans. Knowl. Data Eng., 2011

Mining Discriminative Patterns for Classifying Trajectories on Road Networks.
IEEE Trans. Knowl. Data Eng., 2011

Laplacian Regularized Gaussian Mixture Model for Data Clustering.
IEEE Trans. Knowl. Data Eng., 2011

Efficient Keyword-Based Search for Top-K Cells in Text Cube.
IEEE Trans. Knowl. Data Eng., 2011

Locally Consistent Concept Factorization for Document Clustering.
IEEE Trans. Knowl. Data Eng., 2011

Collection-based sparse label propagation and its application on social group suggestion from photos.
ACM TIST, 2011

MoveMine: Mining moving object data for discovery of animal movement patterns.
ACM TIST, 2011

Survey on web spam detection: principles and algorithms.
SIGKDD Explorations, 2011

Heterogeneous network-based trust analysis: a survey.
SIGKDD Explorations, 2011

A general framework for efficient clustering of large datasets based on activity detection.
Statistical Analysis and Data Mining, 2011

Mining Top-K Large Structural Patterns in a Massive Network.
PVLDB, 2011

PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
PVLDB, 2011

On Link-based Similarity Join.
PVLDB, 2011

SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks.
PVLDB, 2011

Mining Flipping Correlations from Large Datasets with Taxonomies.
PVLDB, 2011

Graph Regularized Nonnegative Matrix Factorization for Data Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Facing the reality of data stream classification: coping with scarcity of labeled data.
Knowl. Inf. Syst., 2011

Methods for mining frequent items in data streams: an overview.
Knowl. Inf. Syst., 2011

Geographical topic discovery and comparison.
Proceedings of the 20th International Conference on World Wide Web, 2011

Growing parallel paths for entity-page discovery.
Proceedings of the 20th International Conference on World Wide Web, 2011

Trust analysis with clustering.
Proceedings of the 20th International Conference on World Wide Web, 2011

HyLiEn: a hybrid approach to general list extraction on the web.
Proceedings of the 20th International Conference on World Wide Web, 2011

Generalized Fisher Score for Feature Selection.
Proceedings of the UAI 2011, 2011

CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description.
Proceedings of the Fourth Text Analysis Conference, 2011

Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Mining Significant Time Intervals for Relationship Detection.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Finding Top-k Shortest Path Distance Changes in an Evolutionary Network.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Graph cube: on warehousing and OLAP multidimensional networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

WINACS: construction and analysis of web-based computer science information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Differentially private data cubes: optimizing noise sources and consistency.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Learning online discussion structures by conditional random fields.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Learning relevance from heterogeneous social network and its application in online targeting.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Authorship classification: a discriminative syntactic tree mining approach.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Learning search tasks in queries and web pages via graph regularization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Collective topic modeling for heterogeneous networks.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks.
Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

Diversified Trajectory Pattern Ranking in Geo-tagged Social Media.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Unsupervised Disaggregation of Low Frequency Power Measurements.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Construction and Analysis of Web-Based Computer Science Information Networks.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Linear Discriminant Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

LikeMiner: a system for mining the power of 'like' in social media networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Ranking-based classification of heterogeneous information networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Probabilistic topic models with biased propagation on heterogeneous information networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

FAST Sequence Mining Based on Sparse Id-Lists.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Power watermarking: Facilitating power-based diagnosis of node silence in remote high-end sensing systems.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Apollo: Towards factfinding in participatory sensing.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

DustDoctor: A self-healing sensor data collection system.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Joint Feature Selection and Subspace Learning.
Proceedings of the IJCAI 2011, 2011

On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF.
Proceedings of the IJCAI 2011, 2011

Extracting General Lists from Web Documents: A Hybrid Approach.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Exposing Complex Bug-Triggering Conditions in Distributed Systems via Graph Mining.
Proceedings of the International Conference on Parallel Processing, 2011

LPTA: A Probabilistic Model for Latent Periodic Topic Analysis.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

The Joint Inference of Topic Diffusion and Evolution in Social Communities.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Signature Pattern Covering via Local Greedy Algorithm and Pattern Shrink.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Patent Maintenance Recommendation with Patent Information Network Model.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Bidirectional mining of non-redundant recurrent rules from a sequence database.
Proceedings of the 27th International Conference on Data Engineering, 2011

The Sparse Regression Cube: A Reliable Modeling Technique for Open Cyber-Physical Systems.
Proceedings of the 2011 IEEE/ACM International Conference on Cyber-Physical Systems, 2011

On Bayesian interpretation of fact-finding in information networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

Efficient Topological OLAP on Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

TEXplorer: keyword-based object search and exploration in multidimensional text databases.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Correlated multi-label feature selection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Towards feature selection in network.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

MiTexCube: MicroTextCluster Cube for Online Analysis of Text Cells.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Geo-Friends Recommendation in GPS-based Cyber-physical Social Network.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Dynamic Social Influence Analysis through Time-Dependent Factor Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Evolutionary Clustering and Analysis of Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

SCENE: Structural Conversation Evolution NEtwork.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Learning a Kernel for Multi-Task Clustering.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

An Overview of Social Tagging and Applications.
Proceedings of the Social Network Data Analytics, 2011

Data Mining: Concepts and Techniques, 3rd edition
Morgan Kaufmann, ISBN: 978-0123814791, 2011

2010
Graph Indexing.
Proceedings of the Managing and Mining Graph Data, 2010

Mining Graph Patterns.
Proceedings of the Managing and Mining Graph Data, 2010

Quality Threshold Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

Partitional Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

Mean Shift.
Proceedings of the Encyclopedia of Machine Learning, 2010

Locality Sensitive Hashing Based Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

K-Way Spectral Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

K-Medoids Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

K-Means Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

Expectation Maximization Clustering.
Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Concept-Drifting Data Streams.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach.
IEEE Trans. Knowl. Data Eng., 2010

Unexpected results in automatic list extraction on the web.
SIGKDD Explorations, 2010

Survey on social tagging techniques.
SIGKDD Explorations, 2010

Discriminative frequent subgraph mining with optimality guarantees.
Statistical Analysis and Data Mining, 2010

On Graph Query Optimization in Large Networks.
PVLDB, 2010

Swarm: Mining Relaxed Temporal Moving Object Clusters.
PVLDB, 2010

The Inverse Classification Problem.
J. Comput. Sci. Technol., 2010

Re-examination of interestingness measures in pattern mining: a unified framework.
Data Min. Knowl. Discov., 2010

Social group suggestion from user image collections.
Proceedings of the 19th International Conference on World Wide Web, 2010

LINKREC: a unified framework for link recommendation with user attributes and graph structure.
Proceedings of the 19th International Conference on World Wide Web, 2010

CETR: content extraction via tag ratios.
Proceedings of the 19th International Conference on World Wide Web, 2010

Entity relation discovery from web tables and links.
Proceedings of the 19th International Conference on World Wide Web, 2010

Keyword extraction for social snippets.
Proceedings of the 19th International Conference on World Wide Web, 2010

Topic initiator detection on the world wide web.
Proceedings of the 19th International Conference on World Wide Web, 2010

iRIN: image retrieval in image-rich information networks.
Proceedings of the 19th International Conference on World Wide Web, 2010

RankCompete: simultaneous ranking and clustering of web photos.
Proceedings of the 19th International Conference on World Wide Web, 2010

MoveMine: mining moving object databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Mining knowledge from databases: an information network analysis approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Privacy-aware regression modeling of participatory sensing data.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graph Regularized Transductive Classification on Heterogeneous Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Structure Is Informative: On Mining Structured Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Classification and Novel Class Detection in Data Streams with Active Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

The wisdom of social multimedia: using flickr for prediction and forecast.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Community evolution detection in dynamic heterogeneous information networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Mining advisor-advisee relationships from research publication networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

PET: a statistical model for popular events tracking in social communities.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Mining periodic behaviors for moving objects.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

On community outliers and their efficient detection in information networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

DIAMOND: Correlation-Based Anomaly Monitoring Daemon for DIME.
Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

Diagnostic powertracing for sensor node failure analysis.
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems.
Proceedings of the ICDM 2010, 2010

gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration.
Proceedings of the ICDM 2010, 2010

Addressing Concept-Evolution in Concept-Drifting Data Streams.
Proceedings of the ICDM 2010, 2010

Top-K aggregation queries over large networks.
Proceedings of the 26th International Conference on Data Engineering, 2010

TopCells: Keyword-based search of top-k aggregated documents in text cube.
Proceedings of the 26th International Conference on Data Engineering, 2010

Progressive clustering of networks using Structure-Connected Order of Traversal.
Proceedings of the 26th International Conference on Data Engineering, 2010

A worldwide tourism recommendation system based on geotaggedweb photos.
Proceedings of the IEEE International Conference on Acoustics, 2010

Region-based online promotion analysis.
Proceedings of the EDBT 2010, 2010

Fast computation of SimRank for static and dynamic information networks.
Proceedings of the EDBT 2010, 2010

Aggregation of Multiple Judgments for Evaluating Ordered Lists.
Proceedings of the Advances in Information Retrieval, 2010

Mining Diversity on Networks.
Proceedings of the Database Systems for Advanced Applications, 2010

Incremental Clustering for Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2010

Mining Moving Object, Trajectory and Traffic Data.
Proceedings of the Database Systems for Advanced Applications, 2010

Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions.
Proceedings of the COLING 2010, 2010

Mapping web pages to database records via link paths.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Mining topic-level influence in heterogeneous networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Visual cube and on-line analytical processing of images.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

A Unified Framework for Link Recommendation Using Random Walks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Stream Mining.
Proceedings of the Encyclopedia of Database Systems, 2009

Data Mining.
Proceedings of the Encyclopedia of Database Systems, 2009

Pattern-Growth Methods.
Proceedings of the Encyclopedia of Database Systems, 2009

Frequent Itemsets and Association Rules.
Proceedings of the Encyclopedia of Database Systems, 2009

Topic modeling for OLAP on multidimensional text databases: topic cube and its applications.
Statistical Analysis and Data Mining, 2009

iNextCube: Information Network-Enhanced Text Cube.
PVLDB, 2009

Promotion Analysis in Multi-Dimensional Space.
PVLDB, 2009

A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks.
PVLDB, 2009

Mining Graph Patterns Efficiently via Randomized Summaries.
PVLDB, 2009

Graph OLAP: a multi-dimensional framework for graph data analysis.
Knowl. Inf. Syst., 2009

Top-down mining of frequent closed patterns from very high dimensional data.
Inf. Sci., 2009

Exploring optimization of semantic relationship graph for multi-relational Bayesian classification.
Decision Support Systems, 2009

MLR-Index: An Index Structure for Fast and Scalable Similarity Search in High Dimensions.
Proceedings of the Scientific and Statistical Database Management, 2009

Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
Proceedings of the SIAM International Conference on Data Mining, 2009

Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

GAD: General Activity Detection for Fast Clustering on Large Data.
Proceedings of the SIAM International Conference on Data Mining, 2009

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

VideoMule: a consensus learning approach to multi-label classification from noisy user-generated videos.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Exploring social tagging graph for web object classification.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Ranking-based clustering of heterogeneous information networks with star network schema.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Classification of software behaviors for failure detection: a discriminative pattern mining approach.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Heterogeneous source consensus learning via decision propagation and negotiation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009


Locality Preserving Nonnegative Matrix Factorization.
Proceedings of the IJCAI 2009, 2009

Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection.
Proceedings of the ICDM 2009, 2009

Mining Personal Image Collection for Social Group Suggestion.
Proceedings of the ICDM Workshops 2009, 2009

iTopicModel: Information Network-Integrated Topic Modeling.
Proceedings of the ICDM 2009, 2009

Parallel PathFinder Algorithms for Mining Structures from Graphs.
Proceedings of the ICDM 2009, 2009

Temporal Outlier Detection in Vehicle Traffic Data.
Proceedings of the 25th International Conference on Data Engineering, 2009

Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database.
Proceedings of the 25th International Conference on Data Engineering, 2009

Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems.
Proceedings of the 29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 2009

Real-Time Knowledge Discovery and Dissemination for Intelligence Analysis.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

RankClus: integrating clustering with ranking for heterogeneous information network analysis.
Proceedings of the EDBT 2009, 2009

Scalable OLAP and mining of information networks.
Proceedings of the EDBT 2009, 2009

Subspace Discovery for Promotion: A Cell Clustering Approach.
Proceedings of the Discovery Science, 12th International Conference, 2009

CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks.
Proceedings of the Discovery Science, 12th International Conference, 2009

Mining Heterogeneous Information Networks by Exploring the Power of Links.
Proceedings of the Discovery Science, 12th International Conference, 2009

Finding Symbolic Bug Patterns in Sensor Networks.
Proceedings of the Distributed Computing in Sensor Systems, 2009

P-Rank: a comprehensive structural similarity measure over information networks.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Mining Heterogeneous Information Networks by Exploring the Power of Links.
Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009

2008
Approximate Frequent Itemset Mining In the Presence of Random Noise.
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

Anomaly Detection in Moving Object.
Proceedings of the Intelligence and Security Informatics, Techniques and Applications, 2008

OLAP, Spatial.
Proceedings of the Encyclopedia of GIS., 2008

A Systematic Study of Failure Proximity.
IEEE Trans. Software Eng., 2008

Learning a Maximum Margin Subspace for Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2008

SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2008

TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering.
PVLDB, 2008

On Having Search Engines Deliver Hierarchies of Web Pages.
Journal of Object Technology, 2008

Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison.
Journal of Computational Biology, 2008

Classifying Data Streams with Skewed Class Distributions and Concept Drifts.
IEEE Internet Computing, 2008

PerRank: Personalized Rank Retrieval with Categorical and Numerical Attributes.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Mining significant graph patterns by leap search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

ARCube: supporting ranking aggregate queries in partially materialized data cubes.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

BibNetMiner: mining bibliographic information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Sampling cube: a framework for statistical olap over sampling data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Dustminer: troubleshooting interactive complexity bugs in sensor networks.
Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008

CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining.
Proceedings of the SIAM International Conference on Data Mining, 2008

SpaRClus: Spatial Relationship Pattern-Based Hierarchial Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008

Mining preferences from superior and inferior examples.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Knowledge transfer via multiple model local structure mapping.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Direct mining of discriminative and essential frequent patterns via model-based search tree.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

Exploring the Power of Heuristics and Links in Multi-relational Data Mining.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Stream Sequential Pattern Mining with Precise Error Bounds.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Text Cube: Computing IR Measures for Multidimensional Text Database Analysis.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Graph OLAP: Towards Online Analytical Processing on Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Non-negative Matrix Factorization on Manifold.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

P-Cube: Answering Preference Queries in Multi-Dimensional Space.
Proceedings of the 24th International Conference on Data Engineering, 2008

Trajectory Outlier Detection: A Partition-and-Detect Framework.
Proceedings of the 24th International Conference on Data Engineering, 2008

Direct Discriminative Pattern Mining for Effective Classification.
Proceedings of the 24th International Conference on Data Engineering, 2008

Training Linear Discriminant Analysis in Linear Time.
Proceedings of the 24th International Conference on Data Engineering, 2008

Data mining for image/video processing: a promising research frontier.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

On effective presentation of graph patterns: a structural representative approach.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Modeling hidden topics on document manifold.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Sparse Projections over Graph.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008


2007
Multi-Dimensional Analysis of Data Streams Using Stream Cubes.
Proceedings of the Data Streams - Models and Algorithms, 2007

On Clustering Massive Data Streams: A Summarization Paradigm.
Proceedings of the Data Streams - Models and Algorithms, 2007

Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The StarCubing Approach.
IEEE Trans. Knowl. Data Eng., 2007

Frequent Closed Sequence Mining without Candidate Maintenance.
IEEE Trans. Knowl. Data Eng., 2007

Semantic annotation of frequent patterns.
TKDD, 2007

Introduction.
TKDD, 2007

Constraint-based sequential pattern mining: the pattern-growth methods.
J. Intell. Inf. Syst., 2007

On compressing frequent patterns.
Data Knowl. Eng., 2007

CrossClus: user-guided multi-relational clustering.
Data Min. Knowl. Discov., 2007

Frequent pattern mining: current status and future directions.
Data Min. Knowl. Discov., 2007

TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays.
BMC Bioinformatics, 2007

Exploring the Power of Links in Data Mining.
Proceedings of the Advances in Data and Web Management, 2007

DataScope: Viewing Database Contents in Google Maps' Way.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Towards Graph Containment Search and Indexing.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

On Efficient Processing of Subspace Skyline Queries on High Dimensional Data.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Traffic Density-Based Discovery of Hot Routes in Road Networks.
Proceedings of the Advances in Spatial and Temporal Databases, 2007

Finding frequent items in data streams using hierarchical information.
Proceedings of the IEEE International Conference on Systems, 2007

Progressive and selective merge: computing top-k with ad-hoc ranking functions.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Trajectory clustering: a partition-and-group framework.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Association Mining in Large Databases: A Re-examination of Its Measures.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

gPrune: A Constraint Pushing Framework for Graph Pattern Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Research Frontiers in Advanced Data Mining Technologies and Applications.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Spectral regression: a unified subspace learning framework for content-based image retrieval.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Mining, Indexing, and Searching Graphs in Large Data Sets.
Proceedings of the Mining and Learning with Graphs, 2007

Regularized regression on image manifold for retrieval.
Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Truth discovery with multiple conflicting information providers on the web.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Locality Sensitive Discriminant Analysis.
Proceedings of the IJCAI 2007, 2007

Indexing Noncrashing Failures: A Dynamic Program Slicing-Based Approach.
Proceedings of the 23rd IEEE International Conference on Software Maintenance (ICSM 2007), 2007

Efficient Discovery of Frequent Approximate Sequential Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

On Appropriate Assumptions to Mine Data Streams: Analysis and Practice.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

gApprox: Mining Frequent Approximate Patterns from a Massive Network.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Efficient Kernel Discriminant Analysis via Spectral Regression.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Spectral Regression: A Unified Approach for Sparse Subspace Learning.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining Colossal Frequent Patterns by Core Pattern Fusion.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Object Distinction: Distinguishing Objects with Identical Names.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Integrating OLAP and Ranking: The Ranking-Cube Methodology.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

The Multi-Relational Skyline Operator.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Cost-Conscious Cleaning of Massive RFID Data Sets.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Discriminative Frequent Pattern Analysis for Effective Classification.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Semi-supervised Discriminant Analysis.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Spectral Regression for Efficient Regularized Subspace Learning.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning a Spatially Smooth Subspace for Face Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Regularized locality preserving indexing via spectral regression.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Isometric Projection.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Statistical Debugging: A Hypothesis Testing-Based Approach.
IEEE Trans. Software Eng., 2006

Feature-based similarity search in graph structures.
ACM Trans. Database Syst., 2006

Efficient Classification across Multiple Database Relations: A CrossMine Approach.
IEEE Trans. Knowl. Data Eng., 2006

Closed Constrained Gradient Mining in Retail Databases.
IEEE Trans. Knowl. Data Eng., 2006

Regression Cubes with Lossless Compression and Aggregation.
IEEE Trans. Knowl. Data Eng., 2006

A Framework for On-Demand Classification of Evolving Data Streams.
IEEE Trans. Knowl. Data Eng., 2006

Orthogonal Laplacianfaces for Face Recognition.
IEEE Trans. Image Processing, 2006

An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining".
Data Min. Knowl. Discov., 2006

Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinformatics, 2006

Error-Adaptive and Time-Aware Maintenance of Frequency Counts over Data Streams.
Proceedings of the Advances in Web-Age Information Management, 2006

LinkClus: Efficient Clustering via Heterogeneous Semantic Links.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Towards Robust Indexing for Ranked Queries.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Failure proximity: a fault localization-based approach.
Proceedings of the 14th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2006

Ranking objects based on relationships.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Tensor space model for document analysis.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Mining Control Flow Abnormality for Logic Error Isolation.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Ranking Outliers Using Symmetric Neighborhood Relationship.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Discovering interesting patterns through user's interactive feedback.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Extracting redundancy-aware top-k patterns.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Generating semantic annotations for frequent patterns with context analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

GPLAG: detection of software plagiarism by program dependence graph analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects.
Proceedings of the Intelligence and Security Informatics, 2006

How Bayesians Debug.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Searching Substructures with Superimposed Distance.
Proceedings of the 22nd International Conference on Data Engineering, 2006

C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Top-Down Mining of Interesting Patterns from Very High Dimensional Data.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Mining, Indexing, and Similarity Search in Graphs and Complex Structures.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Warehousing and Analyzing Massive RFID Data Sets.
Proceedings of the 22nd International Conference on Data Engineering, 2006

On the Inverse Classification Problem and its Applications.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Mining compressed commodity workflows from massive RFID data sets.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Warehousing and Mining Massive RFID Data Sets.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Graph indexing based on discriminative frequent structure analysis.
ACM Trans. Database Syst., 2005

Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining.
IEEE Trans. Knowl. Data Eng., 2005

TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets.
IEEE Trans. Knowl. Data Eng., 2005

Document Clustering Using Locality Preserving Indexing.
IEEE Trans. Knowl. Data Eng., 2005

A tribute to Professor Hongjun Lu.
SIGMOD Record, 2005

TSP: Mining top-k closed sequential patterns.
Knowl. Inf. Syst., 2005

Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams.
Distributed and Parallel Databases, 2005

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing.
Data Min. Knowl. Discov., 2005

On High Dimensional Projected Clustering of Data Streams.
Data Min. Knowl. Discov., 2005

Mining Compressed Frequent-Pattern Sets.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Searching for Related Objects in Relational Databases.
Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005

SOBER: statistical model-based bug localization.
Proceedings of the 10th European Software Engineering Conference held jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2005

Substructure Similarity Search in Graph Databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

SeqIndex: Indexing Sequences by Sequential Pattern Analysis.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

A sampling-based framework for parallel data mining.
Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2005

Efficient Classification from Multiple Heterogeneous Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Efficient Processing of Ranked Queries with Sweeping Selection.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Community Mining from Multi-relational Networks.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Image clustering with tensor representation.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Cross-relational clustering with user's guidance.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Mining closed relational graphs with connectivity constraints.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Summarizing itemset patterns: a profile-based approach.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Parallel mining of closed sequential patterns.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Accelerating DNA sequencing-by-hybridization with noise.
Proceedings of the 5th international workshop on Bioinformatics, 2005

Mining hidden community in heterogeneous social networks.
Proceedings of the 3rd international workshop on Link discovery, 2005

Mining coherent dense subgraphs across massive biological networks for functional discovery.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Mining Closed Relational Graphs with Connectivity Constraints.
Proceedings of the 21st International Conference on Data Engineering, 2005

Mining Evolving Customer-Product Relationships in Multi-Dimensional Space.
Proceedings of the 21st International Conference on Data Engineering, 2005

Survey of Biodata Analysis from a Data Mining Perspective.
Proceedings of the Data Mining in Bioinformatics, 2005

Mining Data Streams.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
PEBL: Web Page Classification without Negative Examples.
IEEE Trans. Knowl. Data Eng., 2004

Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach.
IEEE Trans. Knowl. Data Eng., 2004

Mining Constrained Gradients in Large Databases.
IEEE Trans. Knowl. Data Eng., 2004

The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004).
SIGKDD Explorations, 2004

Mining Condensed Frequent-Pattern Bases.
Knowl. Inf. Syst., 2004

From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach.
J. Comput. Sci. Technol., 2004

Pushing Convertible Constraints in Frequent Itemset Mining.
Data Min. Knowl. Discov., 2004

Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach.
Data Min. Knowl. Discov., 2004

High-Dimensional OLAP: A Minimal Cubing Approach.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

A Framework for Projected Clustering of High Dimensional Data Streams.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

MM-Cubing: Computing Iceberg Cubes by Factorizing the Lattice Space.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

Continuous K-Nearest Neighbor Search for Moving Objects.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

Graph Indexing: A Frequent Structure-based Approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

MAIDS: Mining Alarming Incidents from Data Streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Mining Thick Skylines over Large Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

CCMine: Efficient Mining of Confidence-Closed Correlated Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Mining scale-free networks using geodesic clustering.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Clustering moving objects.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Discovering complex matchings across web query interfaces: a correlation mining approach.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

IncSpan: incremental mining of sequential patterns in large database.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

On demand classification of data streams.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

CrossMine: Efficient Classification Across Multiple Database Relations.
Proceedings of the 20th International Conference on Data Engineering, 2004

BIDE: Efficient Mining of Frequent Closed Sequences.
Proceedings of the 20th International Conference on Data Engineering, 2004

Mining complex matchings across Web query interfaces.
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004

CrossMine: Efficient Classification Across Multiple Database Relations.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Pushing Support Constraints Into Association Rules Mining.
IEEE Trans. Knowl. Data Eng., 2003

Efficient Mining of Intertransaction Association Rules.
IEEE Trans. Knowl. Data Eng., 2003

Cancer classification using gene expression data.
Inf. Syst., 2003

Profile-Based Object Matching for Information Integration.
IEEE Intelligent Systems, 2003

Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration.
Proceedings of the VLDB 2003, 2003

A Framework for Clustering Evolving Data Streams.
Proceedings of the VLDB 2003, 2003

CPAR: Classification based on Predictive Association Rules.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

CloSpan: Mining Closed Sequential Patterns in Large Datasets.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Classifying large data sets using SVMs with hierarchical clusters.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

CloseGraph: mining closed frequent graph patterns.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

CLOSET+: searching for the best strategies for mining frequent closed itemsets.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Mining concept-drifting data streams using ensemble classifiers.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Object Matching for Information Integration: A Profiler-Based Approach.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

TSP: Mining Top-K Closed Sequential Patterns.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

CoMine: Efficient Mining of Correlated Patterns.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Pushing Aggregate Constraints by Divide-and-Approximate.
Proceedings of the 19th International Conference on Data Engineering, 2003

Mining Typical Preferences of Collaborative User Groups.
Proceedings of the Conceptual Modeling, 2003

Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

Text classification from positive and unlabeled documents.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
A template model for multidimensional inter-transactional association rules.
VLDB J., 2002

CLARANS: A Method for Clustering Objects for Spatial Data Mining.
IEEE Trans. Knowl. Data Eng., 2002

Database Research at the University of Illinois at Urbana-Champaign.
SIGMOD Record, 2002

Constrained frequent pattern mining: a pattern-growth view.
SIGKDD Explorations, 2002

Data Mining for Web Intelligence.
IEEE Computer, 2002

Emerging scientific applications in data mining.
Commun. ACM, 2002

Quotient Cube: How to Summarize the Semantics of a Data Cube.
Proceedings of the VLDB 2002, 2002

Multi-Dimensional Regression Analysis of Time-Series Data Streams.
Proceedings of the VLDB 2002, 2002

Mining long sequential patterns in a noisy environment.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

CubeExplorer: online exploration of data cubes.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Top Down FP-Growth for Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

PEBL: positive example based learning for Web page classification using SVM.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Mining frequent item sets by opportunistic projection.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

How Can Data Mining Help Bio-Data Analysis?
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

Heterogeneous Learner for Web Page Classification.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

gSpan: Graph-Based Substructure Pattern Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

On Computing Condensed Frequent Pattern Bases.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Mining Top-K Frequent Closed Patterns without Minimum Support.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Profit Mining: From Patterns to Actions.
Proceedings of the Advances in Database Technology, 2002

Online Analytical Processing Stream Data: Is It Feasible?
Proceedings of the 2002 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2002

Mining sequential patterns with constraints in large databases.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Reminiscences on Influential Papers.
SIGMOD Record, 2001

Mining Multi-Dimensional Constrained Gradients in Data Cubes.
Proceedings of the VLDB 2001, 2001

DNA-Miner: A System Prototype for Mining DNA Sequences.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Efficient Computation of Iceberg Cubes with Complex Measures.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Mining top-n local outliers in large databases.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Scalable frequent-pattern mining methods: an overview.
KDD Tutorials, 2001

Constraint-based clustering in large databases.
Proceedings of the Database Theory, 2001

H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Spatial Clustering in the Presence of Obstacles.
Proceedings of the 17th International Conference on Data Engineering, 2001

PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth.
Proceedings of the 17th International Conference on Data Engineering, 2001

Mining Frequent Item Sets with Convertible Constraints.
Proceedings of the 17th International Conference on Data Engineering, 2001

Fault-Tolerant Frequent Pattern Mining: Problems and Challenges.
Proceedings of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001

RecTree: An Efficient Collaborative Filtering Method.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001

Multi-Dimensional Sequential Pattern Mining.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Beyond intratransaction association analysis: mining multidimensional intertransaction association rules.
ACM Trans. Inf. Syst., 2000

Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes.
IEEE Trans. Knowl. Data Eng., 2000

Discovering Geographic Knowledge in Data Rich Environments: A Report on a Specialist Meeting.
SIGKDD Explorations, 2000

Mining Frequent Patterns by Pattern-Growth: Methodology and Implications.
SIGKDD Explorations, 2000

Efficient Rule-Based Attribute-Oriented Induction for Data Mining.
J. Intell. Inf. Syst., 2000

Mining Frequent Itemsets Using Support Constraints.
Proceedings of the VLDB 2000, 2000

Mining Frequent Patterns without Candidate Generation.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

COE: Clustering with Obstacles Entities. A Preliminary Study.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Mining Access Patterns Efficiently from Web Logs.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Geo-Spatial Clustering with User-Specified Constraints.
Proceedings of the International Workshop on Multimedia Data Mining, 2000

Can we push more constraints into frequent pattern mining?
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

FreeSpan: frequent pattern-projected sequential pattern mining.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Mining Recurrent Items in Multimedia with Progressive Resolution Refinement.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Discovering spatial associations in images.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000

CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets.
Proceedings of the 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000

AIM: Approximate Intelligent Matching for Time Series Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

Data Mining: Concepts and Techniques
Morgan Kaufmann, ISBN: 1-55860-489-8, 2000

1999
Join Index Hierarchy: An Indexing Structure for Efficient Navigation in Object-Oriented Databases.
IEEE Trans. Knowl. Data Eng., 1999

Mining Multiple-Level Association Rules in Large Databases.
IEEE Trans. Knowl. Data Eng., 1999

Review - An Array-Based Algorithm for Simultaneous Multidimensional Aggregates.
ACM SIGMOD Digital Review, 1999

Constraint-Based Multidimensional Data Mining.
IEEE Computer, 1999

Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining.
Proceedings of the Advances in Spatial Databases, 1999

Exploratory Mining via Constrained Frequent Set Queries.
Proceedings of the SIGMOD 1999, 1999

Optimization of Constrained Frequent Set Queries with 2-variable Constraints.
Proceedings of the SIGMOD 1999, 1999

Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Efficient Mining of Partial Periodic Patterns in Time Series Database.
Proceedings of the 15th International Conference on Data Engineering, 1999

Plan Mining by Divide-and-Conquer.
Proceedings of the 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999

Mining Inter-Transaction Associations with Templates.
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999

1998
Towards On-Line Analytical Mining in Large Databases.
SIGMOD Record, 1998

Knowledge representation and discovery based on linguistic atoms.
Knowl.-Based Syst., 1998

Evaluation of Declarative n-Queens Recursion: A Deductive Database Approach.
Inf. Sci., 1998

Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model.
Data Knowl. Eng., 1998

Editorial.
Data Min. Knowl. Discov., 1998

WebML: Querying the World-Wide Web for Resources and Knowledge.
Proceedings of the CIKM'98 First Workshop on Web Information and Data Management (WIDM'98), 1998

MultiMediaMiner: A System Prototype for Multimedia Data Mining.
Proceedings of the SIGMOD 1998, 1998

Exploratory Mining and Pruning Optimizations of Constrained Association Rules.
Proceedings of the SIGMOD 1998, 1998

Selective Materialization: An Efficient Method for Spatial Data Cube Construction.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Mining Segment-Wise Periodic Patterns in Time-Related Databases.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Mining multimedia data.
Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative Research, November 30, 1998

Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs.
Proceedings of the IEEE Forum on Reasearch and Technology Advances in Digital Libraries, 1998

1997
GeoMiner: A System Prototype for Spatial Data Mining.
Proceedings of the SIGMOD 1997, 1997

Generalization and Decision Tree Induction: Efficient Classification in Data Mining.
Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications, 1997

Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Data Mining: Where is it Heading? (Panel).
Proceedings of the Thirteenth International Conference on Data Engineering, 1997

OLAP Mining: Integration of OLAP with Data Mining.
DS-7, 1997

DBMiner: a system for data mining in relational databases and data warehouses.
Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative Research, 1997

1996
Index Nesting - An Efficient Approach to Indexing in Object-Oriented Databases
VLDB J., 1996

Intelligent Query Answering by Knowledge Discovery Techniques.
IEEE Trans. Knowl. Data Eng., 1996

Data Mining: An Overview from a Database Perspective.
IEEE Trans. Knowl. Data Eng., 1996

DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases.
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, 1996

Data Mining Techniques.
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, 1996

A Fast Distributed Algorithm for Mining Association Rules.
Proceedings of the Fourth International Conference on Parallel and Distributed Information Systems, 1996

DBMiner: A System for Mining Knowledge in Large Relational Databases.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique.
Proceedings of the Twelfth International Conference on Data Engineering, February 26, 1996

Spatial Data Mining: Progress and Challenges.
DMKD, 1996

Attribute-Oriented Induction in data Mining.
Advances in Knowledge Discovery and Data Mining, 1996

1995
Evaluation of Regular Nonlinear Recursions by Deductive Database Techniques.
Inf. Syst., 1995

Query evaluation and optimization in deductive and object-oriented spatial databases.
Information & Software Technology, 1995

Fact Updates in Logic Databases.
International Journal of Software Engineering and Knowledge Engineering, 1995

Information-Associated Join Indices for Spatial Range Search.
International Journal of Geographical Information Systems, 1995

Discovery of Multiple-Level Association Rules from Large Databases.
Proceedings of the VLDB'95, 1995

Discovery of Spatial Association Rules in Geographic Information Databases.
Proceedings of the Advances in Spatial Databases, 1995

Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Advances of the DBLearn System for Knowledge Discovery in Large Databases.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Normalization and Compilation of Deductive and Object-Oriented Databases Programs for Efficient Query Evaluation.
Proceedings of the Deductive and Object-Oriented Databases, 1995

Meta-Rule-Guided Mining of Association Rules in Relational Databases.
KDOOD/TDOOD, 1995

Maintenance of Discovered Knowledge: A Strategy for Updating Association Rules (Abstract).
KDOOD/TDOOD, 1995

Mining Knowledge at Multiple Concept Levels.
Proceedings of the CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28, 1995

1994
A Study on the Structure of Linear Recursion.
IEEE Trans. Knowl. Data Eng., 1994

Constraint-Based Query Evaluation in Deductive Databases.
IEEE Trans. Knowl. Data Eng., 1994

Towards Efficient Induction Mechanisms in Database Systems.
Theor. Comput. Sci., 1994

Multichannel Delay Sensitive Data Retrieval.
Multimedia Syst., 1994

Delay-Sensitive Multimedia on Disks.
IEEE MultiMedia, 1994

Join Index Hierarchies for Supporting Efficient Navigations in Object-Oriented Databases.
Proceedings of the VLDB'94, 1994

Efficient and Effective Clustering Methods for Spatial Data Mining.
Proceedings of the VLDB'94, 1994

DBLearn: A System Prototype for Knowledge Discovery in Relational Databases.
Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, 1994

Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

Incremental Processing of Logic Database Relations.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

A Case-Based Reasoning Approach for Associative Query Answering.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

How Does Knowledge Discovery Cooperate with Active Database Techniques in Controlling Dynamic Environment?
Proceedings of the Database and Expert Systems Applications, 5th International Conference, 1994

Cooperative Query Answering Using Multiple Layered Databases.
CoopIS, 1994

LogicBase: A Deductive Database System Prototype.
Proceedings of the Third International Conference on Information and Knowledge Management (CIKM'94), Gaithersburg, Maryland, USA, November 29, 1994

1993
Data-Driven Discovery of Quantitative Rules in Relational Databases.
IEEE Trans. Knowl. Data Eng., 1993

Compilation and evaluation of linear mutual recursions.
Inf. Sci., 1993

Evaluation of Regular Nonlinear Recursive Programs.
Proceedings of the Logic Programming, 1993

An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases.
Proceedings of the Rough Sets, 1993

Human-Computer Interfaces: DBLEARN and System X.
Proceedings of the Rough Sets, 1993

Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization
Proceedings of the Eighth Annual Symposium on Logic in Computer Science (LICS '93), 1993

Normalization of Linear Recursions in Deductive Databases.
Proceedings of the Ninth International Conference on Data Engineering, 1993

Outline of the LogicBase Demonstration.
Proceedings of the Workshop on Programming with Logic Databases. In Conjunction with ILPS, 1993

LogicBase: A System Prototype for Deductive Query Evaluation.
Proceedings of the Workshop on Programming with Logic Databases. In Conjunction with ILPS, 1993

1992
Classification and Compilation of Linear Recursive Queries in Deductive Databases.
IEEE Trans. Knowl. Data Eng., 1992

Automatic generation of compiled forms for linear recursions.
Inf. Syst., 1992

Binding Propagation Beyond the Reach of Rule/Goal Graphs.
Inf. Process. Lett., 1992

Knowledge Discovery in Databases: An Attribute-Oriented Approach.
Proceedings of the 18th International Conference on Very Large Data Bases, 1992

Chain-Based Evaluation - A Bridge Linking Recursive and Nonrecursive Query Evaluation.
Proceedings of the RIDE-TQP '92, 1992

Distance-Associated Join Indices for Spatial Range Search.
Proceedings of the Eighth International Conference on Data Engineering, 1992

Chain-Split Evaluation in Deductive Databases.
Proceedings of the Eighth International Conference on Data Engineering, 1992

Compilation-Based List Processing in Deductive Databases.
Proceedings of the Advances in Database Technology, 1992

Compressed Counting Method.
Proceedings of the Workshop on Deductive Databases held in conjunction with the Joint International Conference and Symposium on Logic Programming, 1992

N-Queens Problem Revisited: A Deductive Database Approach.
Proceedings of the Workshop on Deductive Databases held in conjunction with the Joint International Conference and Symposium on Logic Programming, 1992

Efficient Deduction and Induction: Key to the Success of Data-Intensive Knowledge-Base Systems.
Proceedings of the Formal Methods in Databases and Software Engineering, 1992

1991
Efficient Evaluation of Multiple Linear Recursions.
IEEE Trans. Software Eng., 1991

Evaluation of functional linear recursions: a compilation approach.
Inf. Syst., 1991

Learning in relational databases: an attribute-oriented approach.
Computational Intelligence, 1991

Efficient Evaluation of Linear Recursions with Function Sysmbols in Deductive Databases.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Constraint-Based Reasoning in Deductive Databases.
Proceedings of the Seventh International Conference on Data Engineering, 1991

On the Power of Query-Independent Compilation.
Proceedings of the Advances in Computing and Information, 1991

Efficient Access Methods in Deductive and Object-Oriented Databases.
DOOD, 1991

Attribute-Oriented Induction in Relational Databases.
Knowledge Discovery in Databases, 1991

1990
From transitive closure recursions to single-chain recursions.
Inf. Syst., 1990

Path: An Approach to Incorporate List Processing in A Relational Database.
Proceedings of the SEKE'90, 1990

An Attribute-Oriented Approach for Learning Classification Rules from Relational Databases.
Proceedings of the Sixth International Conference on Data Engineering, 1990

1989
Multi-way counting method.
Inf. Syst., 1989

Compiling general linear recursions by variable connection graph analysis.
Computational Intelligence, 1989

Processing Multiple Linear Recursions.
Proceedings of the Logic Programming, 1989

Derivation of Magic Sets by Compilation.
Proceedings of the SEKE'89, 1989

The Level-Cycle Merging Method.
DOOD, 1989

Asynchronous Chain Recursions.
Proceedings of the International Symposium on Database Systems for Advanced Applications, 1989

1988
Classification of Recursive Formulas in Deductive Databases.
Proceedings of the 1988 ACM SIGMOD International Conference on Management of Data, 1988

One-Directional Recursive Formulas.
JCDKB, 1988

Selection of Processing Strategies for Different Recursive Queries.
JCDKB, 1988

What Kinds of Recursion Can Be Processed by Transitive Closure Strategies?
Proceedings of the Methodologies for Intelligent Systems, 1988

Semantic Query Optimization in Recursive Databases.
Proceedings of the Fourth International Conference on Data Engineering, 1988

The Processing and Evaluation of Transitive Closure Queries.
Proceedings of the Advances in Database Technology, 1988

1987
Handling Redundancy in the Processing of Recursive Database Queries.
Proceedings of the Association for Computing Machinery Special Interest Group on Management of Data 1987 Annual Conference, 1987

1986
Some Performance Results on Recursive Query Processing in Relational Database Systems.
Proceedings of the Second International Conference on Data Engineering, 1986

1985
Using Expert Knowledge in Database-Oriented Problem Solving.
Proceedings of the 6th International Conference on Information Systems, 1985

Knowledge-Directed Recursive Rule Compilation in Expert Database Systems.
Proceedings of the Artificial Intelligence Applications, 1985


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