Charu C. Aggarwal - researchr alias

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2011

Outlier detection in graph streamsCharu C. Aggarwal, Yuchen Zhao, Philip S. Yu. icde 2011: 399-409 [doi]

On dimensionality reduction of massive graphs for indexing and retrievalCharu C. Aggarwal, Haixun Wang. icde 2011: 1091-1102 [doi]

Towards Community Detection in Locally Heterogeneous NetworksCharu C. Aggarwal, Yan Xie, Philip S. Yu. sdm 2011: 391-402 [doi]

On Node Classification in Dynamic Content-based NetworksCharu C. Aggarwal, Nan Li. sdm 2011: 355-366 [doi]

On Flow Authority Discovery in Social NetworksCharu C. Aggarwal, Arijit Khan, Xifeng Yan. sdm 2011: 522-533 [doi]

On Classification of Graph StreamsCharu C. Aggarwal. sdm 2011: 652-663 [doi]

On dynamic data-driven selection of sensor streamsCharu C. Aggarwal, Yan Xie, Philip S. Yu. kdd 2011: 1226-1234 [doi]

Evolutionary Clustering and Analysis of Bibliographic NetworksManish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun. asunam 2011: 63-70 [doi]

Finding Top-k Shortest Path Distance Changes in an Evolutionary NetworkManish Gupta, Charu C. Aggarwal, Jiawei Han. ssd 2011: 130-148 [doi]

Discovering highly reliable subgraphs in uncertain graphsRuoming Jin, Lin Liu, Charu C. Aggarwal. kdd 2011: 992-1000 [doi]

On Anonymization of Multi-graphsChun Li, Charu C. Aggarwal, Jianyong Wang. sdm 2011: 711-722 [doi]

Towards semantic knowledge propagation from text corpus to web imagesGuojun Qi, Charu C. Aggarwal, Thomas S. Huang. WWW 2011: 297-306 [doi]

Towards cross-category knowledge propagation for learning visual conceptsGuo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang. cvpr 2011: 897-904 [doi]

Co-author Relationship Prediction in Heterogeneous Bibliographic NetworksYizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han. asunam 2011: 121-128 [doi]

2010

Managing and Mining Graph DataCharu C. Aggarwal, Haixun Wang, editors, Volume 40 of Advances in Database Systems, Springer, 2010. [doi]

A Survey of Clustering Algorithms for Graph DataCharu C. Aggarwal, Haixun Wang. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 275-301, Springer, 2010. [doi]

Graph Data Management and Mining: A Survey of Algorithms and ApplicationsCharu C. Aggarwal, Haixun Wang. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 13-68, Springer, 2010. [doi]

An Introduction to Graph DataCharu C. Aggarwal, Haixun Wang. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 1-11, Springer, 2010. [doi]

A framework for clustering massive graph streamsCharu C. Aggarwal, Yuchen Zhao, Philip S. Yu. sadm, 3(6):399-416, 2010. [doi]

On Dense Pattern Mining in Graph StreamsCharu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin. pvldb, 3(1):975-984, 2010. [doi]

On clustering massive text and categorical data streamsCharu C. Aggarwal, Philip S. Yu. kais, 24(2):171-196, 2010. [doi]

The Inverse Classification ProblemCharu C. Aggarwal, Chen Chen, Jiawei Han. jcst, 25(3):458-468, 2010. [doi]

Graphical models for text: a new paradigm for text representation and processingCharu C. Aggarwal, Peixiang Zhao. sigir 2010: 899-900 [doi]

The Generalized Dimensionality Reduction ProblemCharu C. Aggarwal. sdm 2010: 607-618 [doi]

On Classification of High-Cardinality Data StreamsCharu C. Aggarwal, Philip S. Yu. sdm 2010: 802-813 [doi]

On Clustering Graph StreamsCharu C. Aggarwal, Yuchen Zhao, Philip S. Yu. sdm 2010: 478-489 [doi]

On Multidimensional Sharpening of Uncertain DataCharu C. Aggarwal. sdm 2010: 373-384 [doi]

A Survey of Algorithms for Dense Subgraph DiscoveryVictor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 303-336, Springer, 2010. [doi]

Addressing Concept-Evolution in Concept-Drifting Data StreamsMohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. icdm 2010: 929-934 [doi]

A Survey of Algorithms for Keyword Search on Graph DataHaixun Wang, Charu C. Aggarwal. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 249-273, Springer, 2010. [doi]

On wavelet decomposition of uncertain time series data setsYuchen Zhao, Charu C. Aggarwal, Philip S. Yu. CIKM 2010: 129-138 [doi]

2009

On classification and segmentation of massive audio data streamsCharu C. Aggarwal. kais, 20(2):137-156, 2009. [doi]

GConnect: A Connectivity Index for Massive Disk-resident GraphsCharu C. Aggarwal, Yan Xie, Philip S. Yu. pvldb, 2(1):862-873, 2009. [doi]

A Survey of Uncertain Data Algorithms and ApplicationsCharu C. Aggarwal, Philip S. Yu. tkde, 21(5):609-623, 2009. [doi]

Frequent pattern mining with uncertain dataCharu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. kdd 2009: 29-38 [doi]

On High Dimensional Projected Clustering of Uncertain Data StreamsCharu C. Aggarwal. icde 2009: 1152-1154 [doi]

On Segment-Based Stream Modeling and Its ApplicationsCharu C. Aggarwal. sdm 2009: 721-732 [doi]

A Framework for Clustering Massive-Domain Data StreamsCharu C. Aggarwal. icde 2009: 102-113 [doi]

Online Auctions: There Can Be Only OneCharu C. Aggarwal, Philip S. Yu. wecwis 2009: 176-181 [doi]

Managing and Mining Uncertain DataCharu C. Aggarwal. Volume 35 of Advances in Database Systems, Kluwer, 2009. [doi]

On Efficient Query Processing of Stream Counts on the Cell ProcessorDina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu. icde 2009: 748-759 [doi]

CONTOUR: an efficient algorithm for discovering discriminating subsequencesJianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. datamine, 18(1):1-29, 2009. [doi]

2008

Privacy-Preserving Data Mining - Models and AlgorithmsCharu C. Aggarwal, Philip S. Yu, editors, Volume 34 of Advances in Database Systems, Springer, 2008. [doi]

An Introduction to Privacy-Preserving Data MiningCharu C. Aggarwal, Philip S. Yu. In Charu C. Aggarwal, Philip S. Yu, editors, Privacy-Preserving Data Mining - Models and Algorithms. Volume 34 of Advances in Database Systems, pages 1-9, Springer, 2008. [doi]

A General Survey of Privacy-Preserving Data Mining Models and AlgorithmsCharu C. Aggarwal, Philip S. Yu. In Charu C. Aggarwal, Philip S. Yu, editors, Privacy-Preserving Data Mining - Models and Algorithms. Volume 34 of Advances in Database Systems, pages 11-52, Springer, 2008. [doi]

Privacy and the Dimensionality CurseCharu C. Aggarwal. In Charu C. Aggarwal, Philip S. Yu, editors, Privacy-Preserving Data Mining - Models and Algorithms. Volume 34 of Advances in Database Systems, pages 433-460, Springer, 2008. [doi]

A Survey of Randomization Methods for Privacy-Preserving Data MiningCharu C. Aggarwal, Philip S. Yu. In Charu C. Aggarwal, Philip S. Yu, editors, Privacy-Preserving Data Mining - Models and Algorithms. Volume 34 of Advances in Database Systems, pages 137-156, Springer, 2008. [doi]

A framework for condensation-based anonymization of string dataCharu C. Aggarwal, Philip S. Yu. datamine, 16(3):251-275, 2008. [doi]

On static and dynamic methods for condensation-based privacy-preserving data miningCharu C. Aggarwal, Philip S. Yu. tods, 33(1), 2008. [doi]

On Indexing High Demensional Data with UncertaintyCharu C. Aggarwal, Philip S. Yu. sdm 2008: 621-631 [doi]

On High Dimensional Indexing of Uncertain DataCharu C. Aggarwal, Philip S. Yu. icde 2008: 1460-1461 [doi]

A Framework for Clustering Uncertain Data StreamsCharu C. Aggarwal, Philip S. Yu. icde 2008: 150-159 [doi]

Outlier Detection with Uncertain DataCharu C. Aggarwal, Philip S. Yu. sdm 2008: 483-493 [doi]

LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data StreamsCharu C. Aggarwal, Philip S. Yu. icde 2008: 426-435 [doi]

On Unifying Privacy and Uncertain Data ModelsCharu C. Aggarwal. icde 2008: 386-395 [doi]

2007

Data Streams - Models and AlgorithmsCharu C. Aggarwal, editor, Volume 31 of Advances in Database Systems, Springer, 2007. [doi]

An Introduction to Data StreamsCharu C. Aggarwal. In Charu C. Aggarwal, editor, Data Streams - Models and Algorithms. Volume 31 of Advances in Database Systems, pages 1-8, Springer, 2007. [doi]

A Survey of Change Diagnosis Algorithms in Evolving Data StreamsCharu C. Aggarwal. In Charu C. Aggarwal, editor, Data Streams - Models and Algorithms. Volume 31 of Advances in Database Systems, pages 85-102, Springer, 2007. [doi]

A Survey of Synopsis Construction in Data StreamsCharu C. Aggarwal, Philip S. Yu. In Charu C. Aggarwal, editor, Data Streams - Models and Algorithms. Volume 31 of Advances in Database Systems, pages 169-207, Springer, 2007. [doi]

On Clustering Massive Data Streams: A Summarization ParadigmCharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. In Charu C. Aggarwal, editor, Data Streams - Models and Algorithms. Volume 31 of Advances in Database Systems, pages 9-38, Springer, 2007. [doi]

Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional ClassificationCharu C. Aggarwal. tkde, 19(8):1001-1015, 2007. [doi]

On Density Based Transforms for Uncertain Data MiningCharu C. Aggarwal. icde 2007: 866-875 [doi]

On string classification in data streamsCharu C. Aggarwal, Philip S. Yu. kdd 2007: 36-45 [doi]

On Randomization, Public Information and the Curse of DimensionalityCharu C. Aggarwal. icde 2007: 136-145 [doi]

A framework for classification and segmentation of massive audio data streamsCharu C. Aggarwal. kdd 2007: 1013-1017 [doi]

On Anonymization of String DataCharu C. Aggarwal, Philip S. Yu. sdm 2007: [doi]

On Point Sampling Versus Space Sampling for Dimensionality ReductionCharu C. Aggarwal. sdm 2007: [doi]

Xproj: a framework for projected structural clustering of xml documentsCharu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki. kdd 2007: 46-55 [doi]

On Privacy-Preservation of Text and Sparse Binary Data with SketchesCharu C. Aggarwal, Philip S. Yu. sdm 2007: [doi]

Discriminating Subsequence Discovery for Sequence ClusteringJianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. sdm 2007: [doi]

Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System SKun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang. VLDB 2007: 1185-1196 [doi]

2006

A Framework for On-Demand Classification of Evolving Data StreamsCharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. tkde, 18(5):577-589, 2006. [doi]

On the use of Human-Computer Interaction for Projected Nearest Neighbor SearchCharu C. Aggarwal. datamine, 13(1):89-117, 2006. [doi]

On Futuristic Query Processing in Data StreamsCharu C. Aggarwal. edbt 2006: 41-58 [doi]

A Framework for Local Supervised Dimensionality Reduction of High Dimensional DataCharu C. Aggarwal. sdm 2006: [doi]

On privacy preservation against adversarial data miningCharu C. Aggarwal, Jian Pei, Bo Zhang 0002. kdd 2006: 510-516 [doi]

On Biased Reservoir Sampling in the Presence of Stream EvolutionCharu C. Aggarwal. VLDB 2006: 607-618 [doi]

On Temporal Evolution in Data StreamsCharu C. Aggarwal. pkdd 2006: 1 [doi]

Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological DataCharu C. Aggarwal. sdm 2006: [doi]

On the Inverse Classification Problem and its ApplicationsCharu C. Aggarwal, Chen Chen, Jiawei Han. icde 2006: 111 [doi]

A Framework for Clustering Massive Text and Categorical Data StreamsCharu C. Aggarwal, Philip S. Yu. sdm 2006: [doi]

XRules: An effective algorithm for structural classification of XML dataMohammed Javeed Zaki, Charu C. Aggarwal. ml, 62(1-2):137-170, 2006. [doi]

2005

On the Use of Wavelet Decomposition for String ClassificationCharu C. Aggarwal, Paul S. Bradley. datamine, 10(2):117-139, 2005. [doi]

On Change Diagnosis in Evolving Data StreamsCharu C. Aggarwal. tkde, 17(5):587-600, 2005. [doi]

An effective and efficient algorithm for high-dimensional outlier detectionCharu C. Aggarwal, Philip S. Yu. vldb, 14(2):211-221, 2005. [doi]

On High Dimensional Projected Clustering of Data StreamsCharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. datamine, 10(3):251-273, 2005. [doi]

Towards exploratory test instance specific algorithms for high dimensional classificationCharu C. Aggarwal. kdd 2005: 526-531 [doi]

On k-Anonymity and the Curse of DimensionalityCharu C. Aggarwal. VLDB 2005: 901-909 [doi]

On Abnormality Detection in Spuriously Populated Data StreamsCharu C. Aggarwal. sdm 2005:

Online Analysis of Community Evolution in Data StreamsCharu C. Aggarwal, Philip S. Yu. sdm 2005:

CSR: Speaker Recognition from Compressed VoIP Packet StreamCharu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu. icmcs 2005: 970-973 [doi]

On Clustering Techniques for Change Diagnosis in Data StreamsCharu C. Aggarwal, Philip S. Yu. kdd 2006: 139-157 [doi]

On Variable Constraints in Privacy Preserving Data MiningCharu C. Aggarwal, Philip S. Yu. sdm 2005:

2004

On Leveraging User Access Patterns for Topic Specific CrawlingCharu C. Aggarwal. datamine, 9(2):123-145, 2004. [doi]

On Using Partial Supervision for Text CategorizationCharu C. Aggarwal, Stephen C. Gates, Philip S. Yu. tkde, 16(2):245-255, 2004. [doi]

An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor SearchCharu C. Aggarwal. tkde, 16(10):1247-1262, 2004. [doi]

A Human-Computer Interactive Method for Projected ClusteringCharu C. Aggarwal. tkde, 16(4):448-460, 2004. [doi]

A Framework for Projected Clustering of High Dimensional Data StreamsCharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2004: 852-863 [doi]

On demand classification of data streamsCharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. kdd 2004: 503-508 [doi]

A Condensation Approach to Privacy Preserving Data MiningCharu C. Aggarwal, Philip S. Yu. edbt 2004: 183-199 [doi]

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