Xindong Wu

According to our database1, Xindong Wu
  • authored at least 389 papers between 1993 and 2017.
  • has a "Dijkstra number"2 of four.

Awards

IEEE Fellow

IEEE Fellow 2011, "For contributions to artificial intelligence applications in power systems".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2017
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2017

Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Netw. Learning Syst., 2017

On Deep Learning for Trust-Aware Recommendations in Social Networks.
IEEE Trans. Neural Netw. Learning Syst., 2017

Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

Learning on Big Graph: Label Inference and Regularization with Anchor Hierarchy.
IEEE Trans. Knowl. Data Eng., 2017

User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective.
IEEE Trans. Knowl. Data Eng., 2017

Big Search in Cyberspace.
IEEE Trans. Knowl. Data Eng., 2017

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Systems, 2017

Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybernetics, 2017

Image set classification based on cooperative sparse representation.
Pattern Recognition, 2017

SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognition, 2017

Online feature selection for high-dimensional class-imbalanced data.
Knowl.-Based Syst., 2017

Efficient sequential pattern mining with wildcards for keyphrase extraction.
Knowl.-Based Syst., 2017

Consensus algorithms for biased labeling in crowdsourcing.
Inf. Sci., 2017

Three-layer concept drifting detection in text data streams.
Neurocomputing, 2017

Towards Effective Bug Triage with Towards Effective Bug Triage with Software Data Reduction Techniques.
CoRR, 2017

Strict pattern matching under non-overlapping condition.
SCIENCE CHINA Information Sciences, 2017

Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project.
IEEE Access, 2017

Topic Modeling over Short Texts by Incorporating Word Embeddings.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Keyphrase Extraction with Sequential Pattern Mining.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Spatiochromatic Context Modeling for Color Saliency Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2016

Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016

Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.
IEEE Trans. Knowl. Data Eng., 2016

On the Feasibility of Distributed Kernel Regression for Big Data.
IEEE Trans. Knowl. Data Eng., 2016

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization.
IEEE Trans. Knowl. Data Eng., 2016

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., 2016

Discovering the k Representative Skyline Over a Sliding Window.
IEEE Trans. Knowl. Data Eng., 2016

Scalable and Accurate Online Feature Selection for Big Data.
TKDD, 2016

Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure.
IEEE Trans. Big Data, 2016

Corrupted and occluded face recognition via cooperative sparse representation.
Pattern Recognition, 2016

LOFS: A library of online streaming feature selection.
Knowl.-Based Syst., 2016

Multi-document summarization using closed patterns.
Knowl.-Based Syst., 2016

Approximate pattern matching with gap constraints.
J. Information Science, 2016

Web News Extraction via Tag Path Feature Fusion Using DS Theory.
J. Comput. Sci. Technol., 2016

Multi-label feature selection with streaming labels.
Inf. Sci., 2016

Neighbor selection for multilabel classification.
Neurocomputing, 2016

Trust Agent-Based Behavior Induction in Social Networks.
IEEE Intelligent Systems, 2016

LOFS: Library of Online Streaming Feature Selection.
CoRR, 2016

Online Feature Selection with Group Structure Analysis.
CoRR, 2016

Topic Modeling over Short Texts by Incorporating Word Embeddings.
CoRR, 2016

Camera Fingerprint: A New Perspective for Identifying User's Identity.
CoRR, 2016

On digital image trustworthiness.
Appl. Soft Comput., 2016

Learning from crowdsourced labeled data: a survey.
Artif. Intell. Rev., 2016

Topic Discovery from Heterogeneous Texts.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Single Image Super Resolution with Neighbor Embedding and In-place Patch Matching.
Proceedings of the Intelligent Computing Theories and Application, 2016

A Real-Time Head Pose Estimation Using Adaptive POSIT Based on Modified Supervised Descent Method.
Proceedings of the Intelligent Computing Theories and Application, 2016

WEFEST: Word Embedding Feature Extension for Short Text Classification.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Concept Based Short Text Stream Classification with Topic Drifting Detection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Link Prediction-Based Multi-label Classification on Networked Data.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
Imbalanced Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng., 2015

Towards Effective Bug Triage with Software Data Reduction Techniques.
IEEE Trans. Knowl. Data Eng., 2015

Online Feature Selection with Group Structure Analysis.
IEEE Trans. Knowl. Data Eng., 2015

Visual Classification by ℓ1-Hypergraph Modeling.
IEEE Trans. Knowl. Data Eng., 2015

Active Learning through Adaptive Heterogeneous Ensembling.
IEEE Trans. Knowl. Data Eng., 2015

A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity.
IEEE Trans. Knowl. Data Eng., 2015

Graph-Based Learning via Auto-Grouped Sparse Regularization and Kernelized Extension.
IEEE Trans. Knowl. Data Eng., 2015

Classification with Streaming Features: An Emerging-Pattern Mining Approach.
TKDD, 2015

Active Learning With Imbalanced Multiple Noisy Labeling.
IEEE Trans. Cybernetics, 2015

Cross-domain sentiment classification-feature divergence, polarity divergence or both?
Pattern Recognition Letters, 2015

Penalized partial least square discriminant analysis with l1 for multi-label data.
Pattern Recognition, 2015

CEKA: a tool for mining the wisdom of crowds.
Journal of Machine Learning Research, 2015

Pattern matching with wildcards and length constraints using maximum network flow.
J. Discrete Algorithms, 2015

Twitter K-H networks in action: Advancing biomedical literature for drug search.
Journal of Biomedical Informatics, 2015

Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model.
Inf. Sci., 2015

Security and privacy protocols for perceptual image hashing.
IJSNet, 2015

ApLeaf: An efficient android-based plant leaf identification system.
Neurocomputing, 2015

Learning concept-drifting data streams with random ensemble decision trees.
Neurocomputing, 2015

Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is.
IET Computer Vision, 2015

Knowledge Engineering with Big Data.
IEEE Intelligent Systems, 2015

Scalable and Accurate Online Feature Selection for Big Data.
CoRR, 2015

Strict approximate pattern matching with general gaps.
Appl. Intell., 2015

An Incremental Decision Tree for Mining Multilabel Data.
Applied Artificial Intelligence, 2015

Community Influence Analysis Based on Social Network Structures.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom 2015, 2015

Tornado Forecasting with Multiple Markov Boundaries.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Saliency Detection with a Deeper Investigation of Light Field.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Plant identification using triangular representation based on salient points and margin points.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning Label Specific Features for Multi-label Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Prediction of rice brown planthoppers based on system dynamics.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Improving Label Quality in Crowdsourcing Using Noise Correction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Clustering web documents using hierarchical representation with multi-granularity.
World Wide Web, 2014

Mining Semantically Consistent Patterns for Cross-View Data.
IEEE Trans. Knowl. Data Eng., 2014

Data Mining with Big Data.
IEEE Trans. Knowl. Data Eng., 2014

3-D Object Retrieval With Hausdorff Distance Learning.
IEEE Trans. Industrial Electronics, 2014

Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection.
IEEE Trans. Cybernetics, 2014

How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?
IEEE Trans. Circuits Syst. Video Techn., 2014

A twitter recruitment intelligent system: association rule mining for smoking cessation.
Social Netw. Analys. Mining, 2014

A Matching Algorithm in PMWL based on CluTree.
New Generation Comput., 2014

Authorship identification from unstructured texts.
Knowl.-Based Syst., 2014

Knowledge reduction for decision tables with attribute value taxonomies.
Knowl.-Based Syst., 2014

Pattern Matching with Flexible Wildcards.
J. Comput. Sci. Technol., 2014

MLSLR: Multilabel Learning via Sparse Logistic Regression.
Inf. Sci., 2014

Image quality assessment based on matching pursuit.
Inf. Sci., 2014

Quality of information-based source assessment and selection.
Neurocomputing, 2014

A New Supervised Feature Selection Method for Pattern Classification.
Computational Intelligence, 2014

Optimizing widths with PSO for center selection of Gaussian radial basis function networks.
SCIENCE CHINA Information Sciences, 2014

Editor's note.
SCIENCE CHINA Information Sciences, 2014

Misleading classification.
SCIENCE CHINA Information Sciences, 2014

Mining sequential patterns with periodic wildcard gaps.
Appl. Intell., 2014

Ensemble learning from multiple information sources via label propagation and consensus.
Appl. Intell., 2014

Online learning with mobile sensor data for user recognition.
Proceedings of the Symposium on Applied Computing, 2014

Single multiplicatively updated matrix factorization for co-clustering.
Proceedings of the Symposium on Applied Computing, 2014

Towards Scalable and Accurate Online Feature Selection for Big Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Does Social Media Big Data Make the World Smaller? An Exploratory Analysis of Keyword-Hashtag Networks.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Mining patterns in Big Data K-H networks.
Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2013

Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search.
IEEE Trans. Image Processing, 2013

Multimedia encyclopedia construction by mining web knowledge.
Signal Processing, 2013

Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Anonymizing classification data using rough set theory.
Knowl.-Based Syst., 2013

Extracting elite pairwise constraints for clustering.
Neurocomputing, 2013

MAIL: mining sequential patterns with wildcards.
IJDMB, 2013

Pnfs: Personalized Web News Filtering and Summarization.
International Journal on Artificial Intelligence Tools, 2013

Mining stable patterns in multiple correlated databases.
Decision Support Systems, 2013

PMBC: Pattern mining from biological sequences with wildcard constraints.
Comp. in Bio. and Med., 2013

Multi-level rough set reduction for decision rule mining.
Appl. Intell., 2013

A relation extraction method of Chinese named entities based on location and semantic features.
Appl. Intell., 2013

A real-time transportation prediction system.
Appl. Intell., 2013

Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph.
Appl. Intell., 2013

Feature Selection by Joint Graph Sparse Coding.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multi-View Visual Classification via a Mixed-Norm Regularizer.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Online Group Feature Selection.
Proceedings of the IJCAI 2013, 2013

Flexible Pattern Matching with Gap-Length and One-Off Conditions.
Proceedings of the 2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013

Markov Blanket Feature Selection with Non-faithful Data Distributions.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Group Feature Selection with Streaming Features.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Web news extraction via path ratios.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Computing term similarity by large probabilistic isA knowledge.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Assessing sparse information extraction using semantic contexts.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A threshold method for imbalanced multiple noisy labeling.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

A Twitter-based smoking cessation recruitment system.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Imbalanced Multiple Noisy Labeling for Supervised Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Online Group Feature Selection from Feature Streams.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
ProteinNET: A Protein Interaction Network Integration System.
Proceedings of the Modern Advances in Intelligent Systems and Tools, 2012

Mining Recurring Concept Drifts with Limited Labeled Streaming Data.
ACM TIST, 2012

Cooperative Sparse Representation in Two Opposite Directions for Semi-Supervised Image Annotation.
IEEE Trans. Image Processing, 2012

Multimodal Graph-Based Reranking for Web Image Search.
IEEE Trans. Image Processing, 2012

Compressed labeling on distilled labelsets for multi-label learning.
Machine Learning, 2012

Fast Co-Clustering by Ranking and Sampling.
Int. J. Software and Informatics, 2012

Learning from concept drifting data streams with unlabeled data.
Neurocomputing, 2012

Top-10 Data Mining Case Studies.
International Journal of Information Technology and Decision Making, 2012

The Apriori property of sequence pattern mining with wildcard gaps.
I. J. Functional Informatics and Personalised Medicine, 2012

Intrusion Detection Models Based on Data Mining.
Int. J. Computational Intelligence Systems, 2012

Exploring Causal Relationships with Streaming Features.
Comput. J., 2012

Mining bridging rules between conceptual clusters.
Appl. Intell., 2012

Extracting Web News Using Tag Path Patterns.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Mining emerging patterns by streaming feature selection.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Coupled behavior analysis for capturing coupling relationships in group-based market manipulations.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A Real-Time Transportation Prediction System.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Self-Taught Active Learning from Crowds.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services.
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012

Online pattern matching with wildcards.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Pattern matching with wildcards based on multiple suffix trees.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
Fundamentals of association rules in data mining and knowledge discovery.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2011

Ontology-Based Business Process Customization for Composite Web Services.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2011

Subkilometer crater discovery with boosting and transfer learning.
ACM TIST, 2011

A structurally motivated framework for discriminant analysis.
Pattern Anal. Appl., 2011

A Chinese time ontology for the Semantic Web.
Knowl.-Based Syst., 2011

Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling.
Inf. Syst., 2011

Maximizing influence spread in modular social networks by optimal resource allocation.
Expert Syst. Appl., 2011

CLAP: Collaborative pattern mining for distributed information systems.
Decision Support Systems, 2011

Robust ensemble learning for mining noisy data streams.
Decision Support Systems, 2011

Manifold elastic net: a unified framework for sparse dimension reduction.
Data Min. Knowl. Discov., 2011

Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints.
Computational Intelligence, 2011

A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards.
Cybernetics and Systems, 2011

Automatic clustering using genetic algorithms.
Applied Mathematics and Computation, 2011

Active Learning of Model Parameters for Influence Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Cross-Domain Collaborative Filtering over Time.
Proceedings of the IJCAI 2011, 2011

Personalized News Filtering and Summarization on the Web.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Weighted Nonnegative Matrix Tri-Factorization for Co-clustering.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

An Epidemic Model for News Spreading on Twitter.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Keyword extraction based on sequential pattern mining.
Proceedings of the ICIMCS 2011, 2011

Causal Associative Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

K-Means Clustering with Bagging and MapReduce.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

Feature selection using hierarchical feature clustering.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Discretization Methods.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Nonnegative Matrix Factorization on Orthogonal Subspace.
Pattern Recognition Letters, 2010

A Modified Semi-Supervised Learning Algorithm on Laplacian Eigenmaps.
Neural Processing Letters, 2010

Special issue on selected papers from IEEE DMF 2008.
Knowl. Inf. Syst., 2010

Mining Recurring Concept Drifts with Limited Labeled Streaming Data.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Integrating induction and deduction for noisy data mining.
Inf. Sci., 2010

News Filtering and Summarization on the Web.
IEEE Intelligent Systems, 2010

NESVM: a Fast Gradient Method for Support Vector Machines
CoRR, 2010

Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
CoRR, 2010

Exploratory analysis of protein translation regulatory networks using hierarchical random graphs.
BMC Bioinformatics, 2010

A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams.
Applied Artificial Intelligence, 2010

Adaptive Informative Sampling for Active Learning.
Proceedings of the SIAM International Conference on Data Mining, 2010

OASNET: an optimal allocation approach to influence maximization in modular social networks.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Rule Synthesizing from Multiple Related Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A matrix modular SVM robust to imbalanced data for efficient visual concept detection.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Ensemble pruning via individual contribution ordering.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

A Nettree for pattern Matching with flexible wildcard Constraints.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Sequential Pattern Mining with Wildcards.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Online Streaming Feature Selection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

NESVM: A Fast Gradient Method for Support Vector Machines.
Proceedings of the ICDM 2010, 2010

Causal Discovery from Streaming Features.
Proceedings of the ICDM 2010, 2010

SMILE: A Similarity-Based Approach for Multiple Instance Learning.
Proceedings of the ICDM 2010, 2010

10 Years of Data Mining Research: Retrospect and Prospect.
Proceedings of the ICDM 2010, 2010

Mining distribution change in stock order streams.
Proceedings of the 26th International Conference on Data Engineering, 2010

A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Pattern Matching with Flexible Wildcards and Recurring Characters.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A New Automatic Categorization Algorithm for Web Services.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A 2-Tier Clustering Algorithm with Map-Reduce.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

Semi-supervised Learning by Spectral Mapping with Label Information.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

Learning from Concept Drifting Data Streams with Unlabeled Data.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

A Phrase-Based Method for Hierarchical Clustering of Web Snippets.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Efficient missing data imputation for supervised learning.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Online causal discovery.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Keyphrase extraction based on semantic relatedness.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
Optimizing Service Systems Based on Application-Level QoS.
IEEE Trans. Services Computing, 2009

EIC Editorial: Introducing the New Editor-in-Chief and Four New Associate Editors.
IEEE Trans. Knowl. Data Eng., 2009

Regional category parsing in undirected graphical models.
Pattern Recognition Letters, 2009

Geometric Mean for Subspace Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Ubiquitous Mining with Interactive Data Mining Agents.
J. Comput. Sci. Technol., 2009

An Agent-Based Hybrid System for Microarray Data Analysis.
IEEE Intelligent Systems, 2009

Mining globally interesting patterns from multiple databases using kernel estimation.
Expert Syst. Appl., 2009

A Comparative Study of Pattern Matching Algorithms on Sequences.
Proceedings of the Rough Sets, 2009

BPBM: An Algorithm for String Matching with Wildcards and Length Constraints.
Proceedings of the Rough Sets, 2009

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Pattern Matching with Wildcards based on Key Character Location.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Error Detection and Uncertainty Modeling for Imprecise Data.
Proceedings of the ICTAI 2009, 2009

Approximate Repeating Pattern Mining with Gap Requirements.
Proceedings of the ICTAI 2009, 2009

Vague One-Class Learning for Data Streams.
Proceedings of the ICDM 2009, 2009

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.
Proceedings of the ICDM Workshops 2009, 2009

Active Learning with Adaptive Heterogeneous Ensembles.
Proceedings of the ICDM 2009, 2009

Ubiquitous personalized information processing with wildcards.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

A relation extraction method of Chinese named entities based on location and semantic features.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Pattern Matching with Independent Wildcard Gaps.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009

Local Semi-linear Regression for River Runoff Forecasting.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Mining Frequent Patterns with Gaps and One-Off Condition.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

MReC4.5: C4.5 Ensemble Classification with MapReduce.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

Clustering Web Services for Automatic Categorization.
Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009

2008
Data Mining.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Mining With Noise Knowledge: Error-Aware Data Mining.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2008

TKDE 20(12) (December 2008) EIC Editorial: State of the Transactions.
IEEE Trans. Knowl. Data Eng., 2008

Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng., 2008

Bayesian Tensor Approach for 3-D Face Modeling.
IEEE Trans. Circuits Syst. Video Techn., 2008

Computing the minimum-support for mining frequent patterns.
Knowl. Inf. Syst., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Tensor Rank One Discriminant Analysis - A convergent method for discriminative multilinear subspace selection.
Neurocomputing, 2008

Conceptual equivalence for contrast mining in classification learning.
Data Knowl. Eng., 2008

Error-Tolerant Data Mining.
Proceedings of the Knowledge-Based Software Engineering, 2008

Automatic Recognition of News Web Pages.
Proceedings of the Intelligence and Security Informatics, 2008

Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations.
Proceedings of the Intelligence and Security Informatics, 2008

Bayesian tensor analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

Robust Application-Level QoS Management in Service-Oriented Systems.
Proceedings of the 2008 IEEE International Conference on e-Business Engineering, 2008

Cleansing Noisy Data Streams.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Data Mining: Algorithms and Problems.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

An Intrusion Detection Model Based on Mining Data Streams.
Proceedings of The 2008 International Conference on Data Mining, 2008

Gene expression analyses using Genetic Algorithm based hybrid approaches.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
EIC Editorial: 2007 TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng., 2007

TKDE Guidelines for Survey Papers.
IEEE Trans. Knowl. Data Eng., 2007

Generic object recognition with regional statistical models and layer joint boosting.
Pattern Recognition Letters, 2007

General Tensor Discriminant Analysis and Gabor Features for Gait Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Mining Sequential Patterns across Time Sequences.
New Generation Comput., 2007

Supervised tensor learning.
Knowl. Inf. Syst., 2007

Mining maximal frequent itemsets from data streams.
J. Information Science, 2007

Real-Time Texture Synthesis Using s-Tile Set.
J. Comput. Sci. Technol., 2007

A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams.
J. Comput. Sci. Technol., 2007

A New Algorithm for Attribute Reduction in Decision Tables.
Proceedings of the Rough Sets, 2007

A Parallel Algorithm for Learning Bayesian Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Varying Density Spatial Clustering Based on a Hierarchical Tree.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Mining Frequent Patterns with Wildcards from Biological Sequences.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

An Empirical Study of the Noise Impact on Cost-Sensitive Learning.
Proceedings of the IJCAI 2007, 2007

Mining Complex Patterns across Sequences with Gap Requirements.
Proceedings of the IJCAI 2007, 2007

Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Noise Modeling with Associative Corruption Rules.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

General Averaged Divergence Analysis.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Discovering Relational Patterns across Multiple Databases.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Mining Frequent Itemsets Using a Pruned Concept Lattice.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Mining with Noise Knowledge: Error Aware Data Mining.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Measuring the Uncertainty of Differences for Contrasting Groups.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
SVM-OD: SVM Method to Detect Outliers.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering.
IEEE Trans. Knowl. Data Eng., 2006

EIC Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng., 2006

EIC Editorial: State of the Transactions.
IEEE Trans. Knowl. Data Eng., 2006

Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.
Knowl. Inf. Syst., 2006

Efficient string matching with wildcards and length constraints.
Knowl. Inf. Syst., 2006

10 Challenging Problems in Data Mining Research.
International Journal of Information Technology and Decision Making, 2006

A logical framework for identifying quality knowledge from different data sources.
Decision Support Systems, 2006

Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets.
Data Min. Knowl. Discov., 2006

Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams.
Data Min. Knowl. Discov., 2006

Identifying bridging rules between conceptual clusters.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Ontology-based feature weighting for biomedical literature classification.
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

Scalable Representative Instance Selection and Ranking.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Elapsed Time in Human Gait Recognition: A New Approach.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Error awareness data mining.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

User-Centered Agents for Structured Information Location on the Web.
Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

Human Carrying Status in Visual Surveillance.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective.
IEEE Trans. Knowl. Data Eng., 2005

Cost-Constrained Data Acquisition for Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng., 2005

Editorial: TKDE Topic Area Revisions.
IEEE Trans. Knowl. Data Eng., 2005

EIC Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng., 2005

Mining Frequent Patterns with the Pattern Tree.
New Generation Comput., 2005

Database classification for multi-database mining.
Inf. Syst., 2005

Support vector machines based on K-means clustering for real-time business intelligence systems.
IJBIDM, 2005

Rearranging data objects for efficient and stable clustering.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Combining proactive and reactive predictions for data streams.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Scalable Inductive Learning on Partitioned Data.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Supervised Tensor Learning.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Sequential Pattern Mining in Multiple Streams.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

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

2004
Knowledge Discovery in Multiple Databases.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-0-85729-388-6, 2004

Efficient mining of both positive and negative association rules.
ACM Trans. Inf. Syst., 2004

Exploring video content structure for hierarchical summarization.
Multimedia Syst., 2004

Editorial: Introducing the New Editor-in-Chief.
Knowl. Inf. Syst., 2004

Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination.
IEEE Intelligent Systems, 2004

Guest Editors' Introduction: Mining Actionable Knowledge on the Web.
IEEE Intelligent Systems, 2004

Data Mining: An AI Perspective.
IEEE Intelligent Informatics Bulletin, 2004

Class Noise vs. Attribute Noise: A Quantitative Study.
Artif. Intell. Rev., 2004

Data Mining: Artificial Intelligence in Data Analysis.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

OIDM: Online Interactive Data Mining.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Data Acquisition with Active and Impact-Sensitive Instance Selection.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Knowledge Discovery in Multiple Databases.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

An Intelligent Digital Library System for Biologists.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Synthesizing High-Frequency Rules from Different Data Sources.
IEEE Trans. Knowl. Data Eng., 2003

Hierarchical video content description and summarization using unified semantic and visual similarity.
Multimedia Syst., 2003

Data Mining: How Research Meets Practical Development?
Knowl. Inf. Syst., 2003

Online First publication.
Knowl. Inf. Syst., 2003

Multi-Database Mining.
IEEE Computational Intelligence Bulletin, 2003

Mining Video Associations for Efficient Database Management.
Proceedings of the IJCAI-03, 2003

Eliminating Class Noise in Large Datasets.
Proceedings of the Machine Learning, 2003

Sequential association mining for video summarization.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002
Using Knowledge Anchors to Reduce Cognitive Overheads.
IEEE Computer, 2002

Message from the TCCI Chair.
IEEE Computational Intelligence Bulletin, 2002

Knowledge discovery in very large databases.
Proceedings of the 14th international conference on Software engineering and knowledge engineering, 2002

Dynamic Refinement of Classification Rules.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

Mining Both Positive and Negative Association Rules.
Proceedings of the Machine Learning, 2002

Association Analysis with One Scan of Databases.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Large Scale Data Mining Based on Data Partitioning.
Applied Artificial Intelligence, 2001

User-Centered Agents for Structured Information Location.
Proceedings of the E-Commerce Agents, 2001

Efficient Runtime Generation of Association Rules.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Knowledge object modeling.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2000

Building Intelligent Learning Database Systems.
AI Magazine, 2000

1999
Induction By Attribute Elimination.
IEEE Trans. Knowl. Data Eng., 1999

Fuzzy interpretation of discretized intervals.
IEEE Trans. Fuzzy Systems, 1999

Editorial.
Knowl. Inf. Syst., 1999

Editorial.
Knowl. Inf. Syst., 1999

Induction as Pre-processing.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1998
RIEVL: Recursive Induction Learning in Hand Gesture Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Rule Induction with Extension Matrices.
JASIS, 1998

LFA+: A Fast Chaining Algorithm for Rule-Based Systems.
Informatica (Slovenia), 1998

Object-Oriented Modeling of Multimedia Documents.
Computer Networks, 1998

Wide Area Selection as a Hyperdocument Search Interface.
Computer Networks, 1998

Learning Design Knowledge as Generalization.
Cybernetics and Systems, 1998

Interest Discovery for Incremental Web Exploration.
Proceedings of WebNet 98, 1998

Multi-layer Incremental Induction.
Proceedings of the PRICAI'98, 1998

1997
Disorientation and Cognitive Overhead in Hypertext Systems.
International Journal on Artificial Intelligence Tools, 1997

SiteHelper: A Localized Agent That Helps Incremental Exploration of the World Wide Web.
Computer Networks, 1997

Hybrid Interpretation of 'No Match' and 'Multiple Match' in Induction.
Comput. J., 1997

A Study of Causal Discovery With Weak Links and Small Samples.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Schedular++: Scheduling with Knowledge Objects.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

1996
Noise Handling with Extension Matrices.
International Journal on Artificial Intelligence Tools, 1996

A Bayesian Discretizer for Real-Valued Attributes.
Comput. J., 1996

RITIO - Rule Induction Two In One.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Rule Induction Without Decision Tree Construction.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995
Knowledge Objects.
Informatica (Slovenia), 1995

Fuzzy Interpretation of Induction Results.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

SIKT: A Structured Interactive Knowledge Transfer Program.
IEA/AIE, 1995

Noise handling with extension matrices.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1994
Lecture Notes in Machine Learning.
Informatica (Slovenia), 1994

1993
Inductive learning.
J. Comput. Sci. Technol., 1993

A Prolog-Based Presentation for Integrating Knowledge and Data.
Informatica (Slovenia), 1993

Inductive learning: Algorithms and frontiers.
Artif. Intell. Rev., 1993

The HCV Induction Algorithm.
Proceedings of the ACM 21th Conference on Computer Science, 1993


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