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Note: Links lead to the DBLP on the Web. Charu C. Aggarwal Charu C. Aggarwal: On Futuristic Query Processing in Data Streams. EDBT 2006 : 41-58 Charu C. Aggarwal, Chen Chen , Jiawei Han : On the Inverse Classification Problem and its Applications. ICDE 2006 : 111 Charu C. Aggarwal, Jiawei Han , Jianyong Wang , Philip S. Yu : A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 18 (5): 577-589 (2006) Charu C. Aggarwal: Towards exploratory test instance specific algorithms for high dimensional classification. KDD 2005 : 526-531 Charu C. Aggarwal: On Abnormality Detection in Spuriously Populated Data Streams. SDM 2005 Charu C. Aggarwal, Philip S. Yu : On Variable Constraints in Privacy Preserving Data Mining. SDM 2005 Charu C. Aggarwal, Philip S. Yu : Online Analysis of Community Evolution in Data Streams. SDM 2005 Charu C. Aggarwal: On k-Anonymity and the Curse of Dimensionality. VLDB 2005 : 901-909 Charu C. Aggarwal, Paul S. Bradley : On the Use of Wavelet Decomposition for String Classification. Data Min. Knowl. Discov. 10 (2): 117-139 (2005) Charu C. Aggarwal, Jiawei Han , Jianyong Wang , Philip S. Yu : On High Dimensional Projected Clustering of Data Streams. Data Min. Knowl. Discov. 10 (3): 251-273 (2005) Charu C. Aggarwal: On Change Diagnosis in Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 17 (5): 587-600 (2005) Charu C. Aggarwal, Philip S. Yu : An effective and efficient algorithm for high-dimensional outlier detection. VLDB J. 14 (2): 211-221 (2005) Charu C. Aggarwal, Philip S. Yu : A Condensation Approach to Privacy Preserving Data Mining. EDBT 2004 : 183-199 Charu C. Aggarwal, Jiawei Han , Jianyong Wang , Philip S. Yu : On demand classification of data streams. KDD 2004 : 503-508 Charu C. Aggarwal, Jiawei Han , Jianyong Wang , Philip S. Yu : A Framework for Projected Clustering of High Dimensional Data Streams. VLDB 2004 : 852-863 Charu C. Aggarwal: On Leveraging User Access Patterns for Topic Specific Crawling. Data Min. Knowl. Discov. 9 (2): 123-145 (2004) Charu C. Aggarwal: An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search. IEEE Trans. Knowl. Data Eng. 16 (10): 1247-1262 (2004) Charu C. Aggarwal, Stephen C. Gates , Philip S. Yu : On Using Partial Supervision for Text Categorization. IEEE Trans. Knowl. Data Eng. 16 (2): 245-255 (2004) Charu C. Aggarwal: A Human-Computer Interactive Method for Projected Clustering. IEEE Trans. Knowl. Data Eng. 16 (4): 448-460 (2004) Mohammed Javeed Zaki , Charu C. Aggarwal: Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, DMKD 2003, San Diego, California, USA, June 13, 2003 ACM 2003 Mohammed Javeed Zaki , Charu C. Aggarwal: XRules: an effective structural classifier for XML data. KDD 2003 : 316-325 Charu C. Aggarwal: Towards systematic design of distance functions for data mining applications. KDD 2003 : 9-18 Charu C. Aggarwal, Dakshi Agrawal : On nearest neighbor indexing of nonlinear trajectories. PODS 2003 : 252-259 Charu C. Aggarwal: A Framework for Change Diagnosis of Data Streams. SIGMOD Conference 2003 : 575-586 Charu C. Aggarwal, Jiawei Han , Jianyong Wang , Philip S. Yu : A Framework for Clustering Evolving Data Streams. VLDB 2003 : 81-92 Srinivasan Parthasarathy , Charu C. Aggarwal: On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. IEEE Trans. Knowl. Data Eng. 15 (6): 1512-1521 (2003) Charu C. Aggarwal: An Intuitive Framework for Understanding Changes in Evolving Data Streams. ICDE 2002 : 261 Charu C. Aggarwal: Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. ICDE 2002 : 593-604 Charu C. Aggarwal: On effective classification of strings with wavelets. KDD 2002 : 163-172 Charu C. Aggarwal: Collaborative crawling: mining user experiences for topical resource discovery. KDD 2002 : 423-428 Charu C. Aggarwal: Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. SIGMOD Conference 2002 : 452-463 Charu C. Aggarwal, Philip S. Yu : An Automated System for Web Portal Personalization. VLDB 2002 : 1031-1040 Charu C. Aggarwal, Cecilia Magdalena Procopiuc , Philip S. Yu : Finding Localized Associations in Market Basket Data. IEEE Trans. Knowl. Data Eng. 14 (1): 51-62 (2002) Charu C. Aggarwal, Philip S. Yu : Redefining Clustering for High-Dimensional Applications. IEEE Trans. Knowl. Data Eng. 14 (2): 210-225 (2002) Charu C. Aggarwal, Zheng Sun , Philip S. Yu : Fast Algorithms for Online Generation of Profile Association Rules. IEEE Trans. Knowl. Data Eng. 14 (5): 1017-1028 (2002) Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : Adaptive Piggybacking Schemes for Video-On-Demand Systems. Multimedia Tools Appl. 16 (3): 231-250 (2002) Charu C. Aggarwal, James B. Orlin : On multiroute maximum flows in networks. Networks 39 (1): 43-52 (2002) Charu C. Aggarwal: Towards Effective and Interpretable Data Mining by Visual Interaction. SIGKDD Explorations 3 (2): 11-22 (2002) Sang-Wook Kim , Charu C. Aggarwal, Philip S. Yu : Effective Nearest Neighbor Indexing with the Euclidean Metric. CIKM 2001 : 9-16 Charu C. Aggarwal, Philip S. Yu : On Effective Conceptual Indexing and Similarity Search in Text Data. ICDM 2001 : 3-10 Charu C. Aggarwal, Alexander Hinneburg , Daniel A. Keim : On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001 : 420-434 Charu C. Aggarwal: A human-computer cooperative system for effective high dimensional clustering. KDD 2001 : 221-226 Charu C. Aggarwal, Srinivasan Parthasarathy : Mining massively incomplete data sets by conceptual reconstruction. KDD 2001 : 227-232 Dakshi Agrawal , Charu C. Aggarwal: On the Design and Quantification of Privacy Preserving Data Mining Algorithms. PODS 2001 Charu C. Aggarwal: On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. PODS 2001 Charu C. Aggarwal, Philip S. Yu : Outlier Detection for High Dimensional Data. SIGMOD Conference 2001 : 37-46 Charu C. Aggarwal, Fatima Al-Garawi , Philip S. Yu : Intelligent crawling on the World Wide Web with arbitrary predicates. WWW 2001 : 96-105 Charu C. Aggarwal, Fatima Al-Garawi , Philip S. Yu : On the design of a learning crawler for topical resource discovery. ACM Trans. Inf. Syst. 19 (3): 286-309 (2001) Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. IEEE Trans. Computers 50 (2): 97-110 (2001) Charu C. Aggarwal, Philip S. Yu : A New Approach to Online Generation of Association Rules. IEEE Trans. Knowl. Data Eng. 13 (4): 527-540 (2001) Charu C. Aggarwal, Philip S. Yu : Mining Associations with the Collective Strength Approach. IEEE Trans. Knowl. Data Eng. 13 (6): 863-873 (2001) Ramesh C. Agarwal , Charu C. Aggarwal, V. V. V. Prasad : A Tree Projection Algorithm for Generation of Frequent Item Sets. J. Parallel Distrib. Comput. 61 (3): 350-371 (2001) Charu C. Aggarwal: Towards Long Pattern Generation in Dense Databases. SIGKDD Explorations 3 (1): 20-26 (2001) Charu C. Aggarwal: Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. SIGMOD Record 30 (1): 13-18 (2001) Charu C. Aggarwal, Joel L. Wolf , Kun-Lung Wu , Philip S. Yu : The Intelligent Recommendation Analyzer. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web 2000 : F67-F72 Ramesh C. Agarwal , Charu C. Aggarwal, V. V. V. Prasad : Depth first generation of long patterns. KDD 2000 : 108-118 Charu C. Aggarwal, Philip S. Yu : The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. KDD 2000 : 119-129 Charu C. Aggarwal, Philip S. Yu : Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference 2000 : 70-81 Alexander Hinneburg , Charu C. Aggarwal, Daniel A. Keim : What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000 : 506-515 Charu C. Aggarwal, Philip S. Yu : Data Mining Techniques for Personalization. IEEE Data Eng. Bull. 23 (1): 4-9 (2000) Kenneth A. Ross , Charu C. Aggarwal, Alfons Kemper , Sunita Sarawagi , S. Sudarshan , Mihalis Yannakakis : Reminiscences on Influential Papers. SIGMOD Record 29 (3): 52-54 (2000) Charu C. Aggarwal, Joel L. Wolf , Kun-Lung Wu , Philip S. Yu : Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. KDD 1999 : 201-212 Charu C. Aggarwal, Stephen C. Gates , Philip S. Yu : On the Merits of Building Categorization Systems by Supervised Clustering. KDD 1999 : 352-356 Charu C. Aggarwal, Mark S. Squillante , Joel L. Wolf , Philip S. Yu , Jay Sethuraman : Optimizing Profits in the Broadcast Delivery of Multimedia Products. Multimedia Information Systems 1999 : 88-95 Charu C. Aggarwal, Philip S. Yu : Data Mining Techniques for Associations, Clustering and Classification. PAKDD 1999 : 13-23 Charu C. Aggarwal, Philip S. Yu : On Text Mining Techniques for Personalization. RSFDGrC 1999 : 12-18 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference 1999 : 407-418 Charu C. Aggarwal, Cecilia Magdalena Procopiuc , Joel L. Wolf , Philip S. Yu , Jong Soo Park : Fast Algorithms for Projected Clustering. SIGMOD Conference 1999 : 61-72 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : Caching on the World Wide Web. IEEE Trans. Knowl. Data Eng. 11 (1): 95-107 (1999) Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu , Marina Epelman : Using Unbalanced Trees for Indexing Multidimensional Objects. Knowl. Inf. Syst. 1 (3): 157-192 (1999) Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : Design and Analysis of Permutation-Based Pyramid Broadcasting. Multimedia Syst. 7 (6): 439-448 (1999) Charu C. Aggarwal, Zheng Sun , Philip S. Yu : Online Algorithms for Finding Profile Association Rules. CIKM 1998 : 86-95 Charu C. Aggarwal, Philip S. Yu : Online Generation of Association Rules. ICDE 1998 : 402-411 Charu C. Aggarwal, Zheng Sun , Philip S. Yu : Online Generation of Profile Association Rules. KDD 1998 : 129-133 Charu C. Aggarwal, Philip S. Yu : A New Framework For Itemset Generation. PODS 1998 : 18-24 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : A Framework for the Optimizing of WWW Advertising. Trends in Distributed Systems for Electronic Commerce 1998 : 1-10 Charu C. Aggarwal, Philip S. Yu : Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21 (1): 23-31 (1998) Charu C. Aggarwal, Ravindra K. Ahuja , Jianxiu Hao , James B. Orlin : Diagnosing infeasibilities in network flow problems. Math. Program. 81 : 263-280 (1998) Charu C. Aggarwal, Philip S. Yu : On Disk Caching of Web Objects in Proxy Servers. CIKM 1997 : 238-245 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu , Marina Epelman : The S-Tree: An Efficient Index for Multidimensional Objects. SSD 1997 : 350-373 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. ICMCS 1996 : 118-126 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : On Optimal Batching Policies for Video-on-Demand Storage Servers. ICMCS 1996 : 253-258 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : On Optimal Piggyback Merging Policies for Video-on-Demand Systems. SIGMETRICS 1996 : 200-209 Charu C. Aggarwal, N. Jain , P. Gupta : An Efficient Selection Algorithm on the Pyramid. Inf. Process. 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