# Charu C. Aggarwal

According to our database

Collaborative distances:

^{1}, Charu C. Aggarwal authored at least 364 papers between 1995 and 2019.Collaborative distances:

## Awards

## ACM Fellow

ACM Fellow 2013, "For contributions to knowledge discovery and data mining algorithms.".

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### Homepages:

#### On csauthors.net:

## Bibliography

2019

Improving Classification Quality in Uncertain Graphs.

J. Data and Information Quality, 2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient Global String Kernel with Random Features: Beyond Counting Substructures.

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Convolutional Networks with EigenPooling.

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Meta Diagram Based Active Social Networks Alignment.

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Privacy in Social Networks, Current and Future Research Trends on.

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

Counterterrorism, Social Network Analysis in.

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

Classification in Streams.

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Editorial: TKDD Special Issue on Interactive Data Exploration and Analytics.

TKDD, 2018

Random-Forest-Inspired Neural Networks.

ACM TIST, 2018

Subspace histograms for outlier detection in linear time.

Knowl. Inf. Syst., 2018

Extracting Real-Time Insights from Graphs and Social Streams.

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Modeling Co-Evolution Across Multiple Networks.

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Temporally Evolving Community Detection and Prediction in Content-Centric Networks.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Exploiting Knowledge Across Distinct Domains: Learning Event Details from Network Logs.

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Learning Deep Network Representations with Adversarially Regularized Autoencoders.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Scalable Spectral Clustering Using Random Binning Features.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.

Ensemble Direct Density Ratio Estimation for Multistream Classification.

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Signed Network Modeling Based on Structural Balance Theory.

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Neural Networks and Deep Learning - A Textbook

Springer, ISBN: 978-3-319-94462-3, 2018

2017

Graph Clustering.

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

An Ensemble Approach to Link Prediction.

IEEE Trans. Knowl. Data Eng., 2017

Introduction to Special Issue on the Best Papers from KDD 2016.

TKDD, 2017

Guest Editorial: Big Media Data: Understanding, Search, and Mining.

IEEE Trans. Big Data, 2017

Toward query-friendly compression of rapid graph streams.

Social Netw. Analys. Mining, 2017

Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes.

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Big Data.

IEEE Intelligent Systems, 2017

Mining Social Streams: Models and Applications.

IEEE Data Eng. Bull., 2017

Temporally Factorized Network Modeling for Evolutionary Network Analysis.

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Exploiting Hierarchical Structures for Unsupervised Feature Selection.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Signed Network Embedding in Social Media.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Using a Random Forest to Inspire a Neural Network and Improving on It.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Outlier Detection for Text Data.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Outlier Detection with Autoencoder Ensembles.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns.

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

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes.

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

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods.

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

Similarity Forests.

Unsupervised P2P Rental Recommendations via Integer Programming.

REMIX: Automated Exploration for Interactive Outlier Detection.

Unveiling polarization in social networks: A matrix factorization approach.

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Kernel-Based Feature Extraction for Collaborative Filtering.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BiCycle: Item Recommendation with Life Cycles.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient Multistream Classification Using Direct Density Ratio Estimation.

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

On Edge Classification in Networks with Structure and Content.

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Rumor Initiator Detection in Infected Signed Networks.

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Outlier Detection in Sparse Data with Factorization Machines.

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Attributed Signed Network Embedding.

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Real Time Social Attitude Expression Prediction.

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Outlier Ensembles - An Introduction

Springer, ISBN: 978-3-319-54765-7, 2017

2016

Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream.

IEEE Trans. Knowl. Data Eng., 2016

Mining Influencers Using Information Flows in Social Streams.

TKDD, 2016

Guest Editorial: Big Media Data: Understanding, Search, and Mining.

IEEE Trans. Big Data, 2016

Managing dimensionality in data privacy anonymization.

Knowl. Inf. Syst., 2016

Large-scale supervised similarity learning in networks.

Knowl. Inf. Syst., 2016

Online Behavioral Analysis and Modeling [Guest Editorial].

IEEE Intelligent Systems, 2016

Uncovering and Predicting Human Behaviors.

IEEE Intelligent Systems, 2016

A Survey of Signed Network Mining in Social Media.

ACM Comput. Surv., 2016

Recommendations in Signed Social Networks.

Proceedings of the 25th International Conference on World Wide Web, 2016

The Troll-Trust Model for Ranking in Signed Networks.

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Querying and Tracking Influencers in Social Streams.

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Scaling up Link Prediction with Ensembles.

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Node Classification in Signed Social Networks.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

LODES: Local Density Meets Spectral Outlier Detection.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Kernelized Matrix Factorization for Collaborative Filtering.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Trust Hole Identification in Signed Networks.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Recursive Ground Truth Estimator for Social Data Streams.

Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Subspace Outlier Detection in Linear Time with Randomized Hashing.

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient Sampling-Based Kernel Mean Matching.

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

On Dense Subgraphs in Signed Network Streams.

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Link prediction in graph streams.

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

An embedding approach to anomaly detection.

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Efficient handling of concept drift and concept evolution over Stream Data.

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Edge classification in networks.

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Linked Document Embedding for Classification.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendations For Streaming Data.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

An Adaptive Framework for Multistream Classification.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sampling-based distributed Kernel mean matching using spark.

Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Query-friendly compression of graph streams.

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Recommender Systems - The Textbook

Springer, ISBN: 978-3-319-29659-3, 2016

2015

Breaking the Barrier to Transferring Link Information across Networks.

IEEE Trans. Knowl. Data Eng., 2015

Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2).

IEEE Trans. Big Data, 2015

Guest Editorial: Big Media Data: Understanding, Search, and Mining.

IEEE Trans. Big Data, 2015

Theoretical Foundations and Algorithms for Outlier Ensembles.

SIGKDD Explorations, 2015

On the anonymizability of graphs.

Knowl. Inf. Syst., 2015

Negative Link Prediction in Social Media.

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

On Integrating Network and Community Discovery.

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Privacy-preserving big data publishing.

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Towards Classification of Social Streams.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Rare Class Detection in Networks.

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

State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness.

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

Heterogeneous Network Embedding via Deep Architectures.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and 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

On historical diagnosis of sensor streams.

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Big Graph Privacy.

Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

Data Mining - The Textbook

Springer, ISBN: 978-3-319-14142-8, 2015

An Introduction to Healthcare Data Analytics.

Proceedings of the Healthcare Data Analytics., 2015

2014

Outlier Detection for Temporal Data

Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2014

Privacy in Social Networks, Current and Future Research Trends on.

Encyclopedia of Social Network Analysis and Mining, 2014

Counterterrorism, Social Network Analysis In.

Encyclopedia of Social Network Analysis and Mining, 2014

Outlier Detection for Temporal Data: A Survey.

IEEE Trans. Knowl. Data Eng., 2014

On the Use of Side Information for Mining Text Data.

IEEE Trans. Knowl. Data Eng., 2014

A framework for dynamic link prediction in heterogeneous networks.

Statistical Analysis and Data Mining, 2014

Evolutionary Network Analysis: A Survey.

ACM Comput. Surv., 2014

Ranking in heterogeneous social media.

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Node classification in uncertain graphs.

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Towards Breaking the Curse of Dimensionality for High-Dimensional Privacy.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Scalable Information Flow Mining in Networks.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

The setwise stream classification problem.

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Using humans as sensors: an estimation-theoretic perspective.

Proceedings of the IPSN'14, 2014

Factorized Similarity Learning in Networks.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning Local Semantic Distances with Limited Supervision.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Stream Mining Using Statistical Relational Learning.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A Condensation Approach to Privacy Preserving Data Mining.

Proceedings of the 17th International Conference on Extending Database Technology, 2014

Data Extrapolation in Social Sensing for Disaster Response.

Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

One, Two, Hash! Counting Hash Tables for Flash Devices.

Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

Distributed Adaptive Importance Sampling on graphical models using MapReduce.

Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Frequent Pattern Mining Algorithms: A Survey.

Proceedings of the Frequent Pattern Mining, 2014

Applications of Frequent Pattern Mining.

Proceedings of the Frequent Pattern Mining, 2014

An Introduction to Frequent Pattern Mining.

Proceedings of the Frequent Pattern Mining, 2014

Text Classification.

Proceedings of the Data Classification: Algorithms and Applications, 2014

Active Learning: A Survey.

Proceedings of the Data Classification: Algorithms and Applications, 2014

Educational and Software Resources for Data Classification.

Proceedings of the Data Classification: Algorithms and Applications, 2014

Rare Class Learning.

Proceedings of the Data Classification: Algorithms and Applications, 2014

A Survey of Stream Classification Algorithms.

Proceedings of the Data Classification: Algorithms and Applications, 2014

Instance-Based Learning: A Survey.

Proceedings of the Data Classification: Algorithms and Applications, 2014

An Introduction to Data Classification.

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.

IEEE Trans. Knowl. Data Eng., 2013

On the Analytical Properties of High-Dimensional Randomization.

IEEE Trans. Knowl. Data Eng., 2013

Mining text and social streams: a review.

SIGKDD Explorations, 2013

NeMa: Fast Graph Search with Label Similarity.

PVLDB, 2013

Towards graphical models for text processing.

Knowl. Inf. Syst., 2013

On Credibility Estimation Tradeoffs in Assured Social Sensing.

IEEE Journal on Selected Areas in Communications, 2013

Mining collective intelligence in diverse groups.

Proceedings of the 22nd International World Wide Web Conference, 2013

Online community detection in social sensing.

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Community Detection with Prior Knowledge.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Selective sampling on graphs for classification.

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

On Anomalous Hotspot Discovery in Graph Streams.

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Link prediction across networks by biased cross-network sampling.

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications.

Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013

Content-centric flow mining for influence analysis in social streams.

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Hash in a flash: Hash tables for flash devices.

Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Unsupervised Link Selection in Networks.

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

A Survey of RFID Data Processing.

Proceedings of the Managing and Mining Sensor Data, 2013

The Internet of Things: A Survey from the Data-Centric Perspective.

Proceedings of the Managing and Mining Sensor Data, 2013

Social Sensing.

Proceedings of the Managing and Mining Sensor Data, 2013

Mining Sensor Data Streams.

Proceedings of the Managing and Mining Sensor Data, 2013

An Introduction to Sensor Data Analytics.

Proceedings of the Managing and Mining Sensor Data, 2013

Outlier Analysis

Springer, ISBN: 978-1-4614-6396-2, 2013

Time-Series Data Clustering.

Proceedings of the Data Clustering: Algorithms and Applications, 2013

Educational and Software Resources for Data Clustering.

Proceedings of the Data Clustering: Algorithms and Applications, 2013

A Survey of Uncertain Data Clustering Algorithms.

Proceedings of the Data Clustering: Algorithms and Applications, 2013

A Survey of Stream Clustering Algorithms.

Proceedings of the Data Clustering: Algorithms and Applications, 2013

An Introduction to Cluster Analysis.

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

On the equivalence of PLSI and projected clustering.

SIGMOD Record, 2012

Outlier ensembles: position paper.

SIGKDD Explorations, 2012

On supervised mining of dynamic content-based networks.

Statistical Analysis and Data Mining, 2012

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

PVLDB, 2012

Exploring Context and Content Links in Social Media: A Latent Space Method.

IEEE Trans. Pattern Anal. Mach. Intell., 2012

A segment-based framework for modeling and mining data streams.

Knowl. Inf. Syst., 2012

On the network effect in Web 2.0 applications.

Electronic Commerce Research and Applications, 2012

Guest editorial: special issue on data mining technologies for computational social science.

Data Min. Knowl. Discov., 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

On clustering heterogeneous social media objects with outlier links.

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing.

Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012

Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

On Dynamic Link Inference in Heterogeneous Networks.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Event Detection in Social Streams.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

On Influential Node Discovery in Dynamic Social Networks.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

The Multi-Set Stream Clustering Problem.

Proceedings of the Twelfth SIAM 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

Reliable Clustering on Uncertain Graphs.

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Community Detection with Edge Content in Social Media Networks.

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

On Text Clustering with Side Information.

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Searching by corpus with fingerprints.

Proceedings of the 15th International Conference on Extending Database Technology, 2012

A Survey of Text Classification Algorithms.

Proceedings of the Mining Text Data, 2012

A Survey of Text Clustering Algorithms.

Proceedings of the Mining Text Data, 2012

An Introduction to Text Mining.

Proceedings of the Mining Text Data, 2012

Mining Text Streams.

Proceedings of the Mining Text Data, 2012

From Combinatorial Optimization to Data Mining.

Proceedings of the Journeys to Data Mining, 2012

2011

Data Mining (Privacy in).

Proceedings of the Encyclopedia of Cryptography and Security, 2nd Ed., 2011

gSketch: On Query Estimation in Graph Streams.

PVLDB, 2011

Towards semantic knowledge propagation from text corpus to web images.

Proceedings of the 20th International Conference on World Wide Web, 2011

Finding Top-k Shortest Path Distance Changes in an Evolutionary Network.

Proceedings of the Advances in Spatial and Temporal Databases, 2011

On Anonymization of Multi-graphs.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Towards Community Detection in Locally Heterogeneous Networks.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

On Node Classification in Dynamic Content-based Networks.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

On Flow Authority Discovery in Social Networks.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

On Classification of Graph Streams.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Discovering highly reliable subgraphs in uncertain graphs.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

On dynamic data-driven selection of sensor streams.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams.

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

On the Hardness of Graph Anonymization.

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Outlier detection in graph streams.

Proceedings of the 27th International Conference on Data Engineering, 2011

On dimensionality reduction of massive graphs for indexing and retrieval.

Proceedings of the 27th International Conference on Data Engineering, 2011

On Bayesian interpretation of fact-finding in information networks.

Proceedings of the 14th International Conference on Information Fusion, 2011

Optimizing quality-of-information in cost-sensitive sensor data fusion.

Proceedings of the Distributed Computing in Sensor Systems, 2011

On sensor selection in linked information networks.

Proceedings of the Distributed Computing in Sensor Systems, 2011

Towards cross-category knowledge propagation for learning visual concepts.

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 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

Text Mining in Social Networks.

Proceedings of the Social Network Data Analytics, 2011

Integrating Sensors and Social Networks.

Proceedings of the Social Network Data Analytics, 2011

An Introduction to Social Network Data Analytics.

Proceedings of the Social Network Data Analytics, 2011

2010

A Survey of Algorithms for Keyword Search on Graph Data.

Proceedings of the Managing and Mining Graph Data, 2010

A Survey of Algorithms for Dense Subgraph Discovery.

Proceedings of the Managing and Mining Graph Data, 2010

A Survey of Clustering Algorithms for Graph Data.

Proceedings of the Managing and Mining Graph Data, 2010

Graph Data Management and Mining: A Survey of Algorithms and Applications.

Proceedings of the Managing and Mining Graph Data, 2010

An Introduction to Graph Data.

Proceedings of the Managing and Mining Graph Data, 2010

Graph Clustering.

Proceedings of the Encyclopedia of Machine Learning, 2010

A framework for clustering massive graph streams.

Statistical Analysis and Data Mining, 2010

On Dense Pattern Mining in Graph Streams.

PVLDB, 2010

On clustering massive text and categorical data streams.

Knowl. Inf. Syst., 2010

The Inverse Classification Problem.

J. Comput. Sci. Technol., 2010

Graphical models for text: a new paradigm for text representation and processing.

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

On Clustering Graph Streams.

Proceedings of the SIAM International Conference on Data Mining, 2010

On Classification of High-Cardinality Data Streams.

Proceedings of the SIAM International Conference on Data Mining, 2010

The Generalized Dimensionality Reduction Problem.

Proceedings of the SIAM International Conference on Data Mining, 2010

On Multidimensional Sharpening of Uncertain Data.

Proceedings of the SIAM International Conference on Data Mining, 2010

Addressing Concept-Evolution in Concept-Drifting Data Streams.

Proceedings of the ICDM 2010, 2010

On wavelet decomposition of uncertain time series data sets.

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Data Streams: An Overview and Scientific Applications.

Proceedings of the Scientific Data Mining and Knowledge Discovery, 2010

2009

Managing and Mining Uncertain Data

Advances in Database Systems 35, Kluwer, ISBN: 978-0-387-09689-6, 2009

Classification in Streams.

Proceedings of the Encyclopedia of Database Systems, 2009

A Survey of Uncertain Data Algorithms and Applications.

IEEE Trans. Knowl. Data Eng., 2009

GConnect: A Connectivity Index for Massive Disk-resident Graphs.

PVLDB, 2009

On classification and segmentation of massive audio data streams.

Knowl. Inf. Syst., 2009

CONTOUR: an efficient algorithm for discovering discriminating subsequences.

Data Min. Knowl. Discov., 2009

Online Auctions: There Can Be Only One.

Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

On Segment-Based Stream Modeling and Its Applications.

Proceedings of the SIAM International Conference on Data Mining, 2009

Frequent pattern mining with uncertain data.

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

On Efficient Query Processing of Stream Counts on the Cell Processor.

Proceedings of the 25th International Conference on Data Engineering, 2009

On High Dimensional Projected Clustering of Uncertain Data Streams.

Proceedings of the 25th International Conference on Data Engineering, 2009

A Framework for Clustering Massive-Domain Data Streams.

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

A Survey of Randomization Methods for Privacy-Preserving Data Mining.

Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

A General Survey of Privacy-Preserving Data Mining Models and Algorithms.

Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

An Introduction to Privacy-Preserving Data Mining.

Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Privacy and the Dimensionality Curse.

Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Privacy-Preserving Data Mining: A Survey.

Proceedings of the Handbook of Database Security - Applications and Trends, 2008

On static and dynamic methods for condensation-based privacy-preserving data mining.

ACM Trans. Database Syst., 2008

A framework for condensation-based anonymization of string data.

Data Min. Knowl. Discov., 2008

On Indexing High Demensional Data with Uncertainty.

Proceedings of the SIAM International Conference on Data Mining, 2008

Outlier Detection with Uncertain Data.

Proceedings of the SIAM International Conference on Data Mining, 2008

On High Dimensional Indexing of Uncertain Data.

Proceedings of the 24th International Conference on Data Engineering, 2008

LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams.

Proceedings of the 24th International Conference on Data Engineering, 2008

A Framework for Clustering Uncertain Data Streams.

Proceedings of the 24th International Conference on Data Engineering, 2008

On Unifying Privacy and Uncertain Data Models.

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

A Survey of Synopsis Construction in Data Streams.

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

A Survey of Change Diagnosis Algorithms in Evolving Data Streams.

Proceedings of the Data Streams - Models and Algorithms, 2007

An Introduction to Data Streams.

Proceedings of the Data Streams - Models and Algorithms, 2007

Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification.

IEEE Trans. Knowl. Data Eng., 2007

Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Discriminating Subsequence Discovery for Sequence Clustering.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Anonymization of String Data.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Privacy-Preservation of Text and Sparse Binary Data with Sketches.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Point Sampling Versus Space Sampling for Dimensionality Reduction.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On string classification in data streams.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Xproj: a framework for projected structural clustering of xml documents.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A framework for classification and segmentation of massive audio data streams.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

On Density Based Transforms for Uncertain Data Mining.

Proceedings of the 23rd International Conference on Data Engineering, 2007

On Randomization, Public Information and the Curse of Dimensionality.

Proceedings of the 23rd International Conference on Data Engineering, 2007

2006

A Framework for On-Demand Classification of Evolving Data Streams.

IEEE Trans. Knowl. Data Eng., 2006

XRules: An effective algorithm for structural classification of XML data.

Machine Learning, 2006

On the use of Human-Computer Interaction for Projected Nearest Neighbor Search.

Data Min. Knowl. Discov., 2006

On Biased Reservoir Sampling in the Presence of Stream Evolution.

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

A Framework for Clustering Massive Text and Categorical Data Streams.

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data.

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data.

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

On Temporal Evolution in Data Streams.

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

On privacy preservation against adversarial data mining.

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

On the Inverse Classification Problem and its Applications.

Proceedings of the 22nd International Conference on Data Engineering, 2006

On Futuristic Query Processing in Data Streams.

Proceedings of the Advances in Database Technology, 2006

2005

An effective and efficient algorithm for high-dimensional outlier detection.

VLDB J., 2005

On Change Diagnosis in Evolving Data Streams.

IEEE Trans. Knowl. Data Eng., 2005

On High Dimensional Projected Clustering of Data Streams.

Data Min. Knowl. Discov., 2005

On the Use of Wavelet Decomposition for String Classification.

Data Min. Knowl. Discov., 2005

On k-Anonymity and the Curse of Dimensionality.

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

On Variable Constraints in Privacy Preserving Data Mining.

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Online Analysis of Community Evolution in Data Streams.

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

On Abnormality Detection in Spuriously Populated Data Streams.

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

On Clustering Techniques for Change Diagnosis in Data Streams.

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2005

Towards exploratory test instance specific algorithms for high dimensional classification.

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

CSR: Speaker Recognition from Compressed VoIP Packet Stream.

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

2004

On Using Partial Supervision for Text Categorization.

IEEE Trans. Knowl. Data Eng., 2004

An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search.

IEEE Trans. Knowl. Data Eng., 2004

A Human-Computer Interactive Method for Projected Clustering.

IEEE Trans. Knowl. Data Eng., 2004

On Leveraging User Access Patterns for Topic Specific Crawling.

Data Min. Knowl. Discov., 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, VLDB 2004, Toronto, Canada, August 31, 2004

On demand classification of data streams.

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

A Condensation Approach to Privacy Preserving Data Mining.

Proceedings of the Advances in Database Technology, 2004

2003

On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets.

IEEE Trans. Knowl. Data Eng., 2003

A Framework for Clustering Evolving Data Streams.

Proceedings of 29th International Conference on Very Large Data Bases, 2003

A Framework for Change Diagnosis of Data Streams.

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

On nearest neighbor indexing of nonlinear trajectories.

Proceedings of the Twenty-Second ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2003

XRules: an effective structural classifier for XML data.

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Towards systematic design of distance functions for data mining applications.

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Epi-SPIRE: a system for environmental and public health activity monitoring.

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002

Redefining Clustering for High-Dimensional Applications.

IEEE Trans. Knowl. Data Eng., 2002

Fast Algorithms for Online Generation of Profile Association Rules.

IEEE Trans. Knowl. Data Eng., 2002

Finding Localized Associations in Market Basket Data.

IEEE Trans. Knowl. Data Eng., 2002

Towards Effective and Interpretable Data Mining by Visual Interaction.

SIGKDD Explorations, 2002

On multiroute maximum flows in networks.

Networks, 2002

Adaptive Piggybacking Schemes for Video-On-Demand Systems.

Multimedia Tools Appl., 2002

An Automated System for Web Portal Personalization.

Proceedings of 28th International Conference on Very Large Data Bases, 2002

Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search.

Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Collaborative crawling: mining user experiences for topical resource discovery.

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

On effective classification of strings with wavelets.

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction.

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

An Intuitive Framework for Understanding Changes in Evolving Data Streams.

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

2001

On the design of a learning crawler for topical resource discovery.

ACM Trans. Inf. Syst., 2001

Mining Associations with the Collective Strength Approach.

IEEE Trans. Knowl. Data Eng., 2001

A New Approach to Online Generation of Association Rules.

IEEE Trans. Knowl. Data Eng., 2001

The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems.

IEEE Trans. Computers, 2001

Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data.

SIGMOD Record, 2001

Towards Long Pattern Generation in Dense Databases.

SIGKDD Explorations, 2001

A Tree Projection Algorithm for Generation of Frequent Item Sets.

J. Parallel Distrib. Comput., 2001

Intelligent crawling on the World Wide Web with arbitrary predicates.

Proceedings of the Tenth International World Wide Web Conference, 2001

Personalization with Dynamic Profiler.

Proceedings of the Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01), 2001

Outlier Detection for High Dimensional Data.

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

On the Design and Quantification of Privacy Preserving Data Mining Algorithms.

Proceedings of the Twentieth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2001

On the Effects of Dimensionality Reduction on High Dimensional Similarity Search.

Proceedings of the Twentieth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2001

Mining massively incomplete data sets by conceptual reconstruction.

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

A human-computer cooperative system for effective high dimensional clustering.

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

On the Surprising Behavior of Distance Metrics in High Dimensional Spaces.

Proceedings of the Database Theory, 2001

On Effective Conceptual Indexing and Similarity Search in Text Data.

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Effective Nearest Neighbor Indexing with the Euclidean Metric.

Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000

Reminiscences on Influential Papers.

SIGMOD Record, 2000

Data Mining Techniques for Personalization.

IEEE Data Eng. Bull., 2000

What Is the Nearest Neighbor in High Dimensional Spaces?

Proceedings of the VLDB 2000, 2000

Finding Generalized Projected Clusters In High Dimensional Spaces.

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space.

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Depth first generation of long patterns.

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

The Intelligent Recommendation Analyzer.

Proceedings of the 2000 ICDCS Workshops, April 10, 2000, Taipei, Taiwan, ROC, 2000

1999

Caching on the World Wide Web.

IEEE Trans. Knowl. Data Eng., 1999

Design and Analysis of Permutation-Based Pyramid Broadcasting.

Multimedia Syst., 1999

Using Unbalanced Trees for Indexing Multidimensional Objects.

Knowl. Inf. Syst., 1999

A New Method for Similarity Indexing of Market Basket Data.

Proceedings of the SIGMOD 1999, 1999

Fast Algorithms for Projected Clustering.

Proceedings of the SIGMOD 1999, 1999

On Text Mining Techniques for Personalization.

Proceedings of the New Directions in Rough Sets, 1999

Data Mining Techniques for Associations, Clustering and Classification.

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Optimizing Profits in the Broadcast Delivery of Multimedia Products.

Proceedings of the MIS '99, 1999

Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering.

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

On the Merits of Building Categorization Systems by Supervised Clustering.

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

Diagnosing infeasibilities in network flow problems.

Math. Program., 1998

Optimization issues in multimedia systems.

Int. J. Intell. Syst., 1998

Mining Large Itemsets for Association Rules.

IEEE Data Eng. Bull., 1998

A New Framework For Itemset Generation.

Proceedings of the Seventeenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1998

Online Generation of Profile Association Rules.

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Framework for the Optimizing of WWW Advertising.

Proceedings of the Trends in Distributed Systems for Electronic Commerce, 1998

Online Generation of Association Rules.

Proceedings of the Fourteenth International Conference on Data Engineering, 1998

Online Algorithms for Finding Profile Association Rules.

Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

1997

Optimized Crossover for the Independent Set Problem.

Operations Research, 1997

The S-Tree: An Efficient Index for Multidimensional Objects.

Proceedings of the Advances in Spatial Databases, 1997

On Disk Caching of Web Objects in Proxy Servers.

Proceedings of the Sixth International Conference on Information and Knowledge Management (CIKM'97), 1997

1996

On Optimal Piggyback Merging Policies for Video-on-Demand Systems.

Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, 1996

On Optimal Batching Policies for Video-on-Demand Storage Servers.

Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996

A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems.

Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996

1995

An Efficient Selection Algorithm on the Pyramid.

Inf. Process. Lett., 1995