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Charu C. Aggarwal

Papers on DiSC'02


Outlier detection for high dimensional data

On the Design and Quantification of Privacy Preserving Data Mining Algorithms

On the Effects of Dimensionality Reduction on High Dimensional Similarity Search

Effective nearest neighbor indexing with the euclidean metric

On Effective Conceptual Indexing and Similarity Search in Text Data

On the Surprising Behavior of Distance Metrics in High Dimensional Spaces

A human-computer cooperative system for effective high dimensional clustering

Mining massively incomplete data sets by conceptual reconstruction

Towards Long Pattern Generation in Dense Databases

Publications


Note: Links lead to the DBLP on the Web.

Charu C. Aggarwal

51 Charu C. Aggarwal: Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. ICDE 2002

50 Charu C. Aggarwal: Hierarchical Subspace Sampling: A Unified Framework for High Dimensional Data Reduction, Selectivity Estimation, and Nearest Neighbor Search. SIGMOD Conference 2002

49 Charu C. Aggarwal, Philip S. Yu : An Automated System for Web Portal Personalization. VLDB 2002

48 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : Adaptive Piggybacking Schemes for Video-On-Demand Systems. Multimedia Tools and Applications 16 (3): 231-250 (2002)

47 Charu C. Aggarwal: Towards Effective and Interpretable Data Mining by Visual Interaction. SIGKDD Explorations 3 (2): 11-22 (2002)

46 Charu C. Aggarwal, Cecilia Magdalena Procopiuc , Philip S. Yu : Finding Localized Associations in Market Basket Data. TKDE 14 (1): 51-62 (2002)

45 Charu C. Aggarwal, Philip S. Yu : Redefining Clustering for High-Dimensional Applications. TKDE 14 (2): 210-225 (2002)

44 Sang-Wook Kim , Charu C. Aggarwal, Philip S. Yu : Effective Nearest Neighbor Indexing with the Euclidean Metric. CIKM 2001 : 9-16

43 Charu C. Aggarwal, Philip S. Yu : On Effective Conceptual Indexing and Similarity Search in Text Data. ICDM 2001 : 3-10

42 Charu C. Aggarwal, Alexander Hinneburg , Daniel A. Keim : On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001 : 420-434

41 Charu C. Aggarwal: A human-computer cooperative system for effective high dimensional clustering. KDD 2001 : 221-226

40 Charu C. Aggarwal, Srinivasan Parthasarathy : Mining massively incomplete data sets by conceptual reconstruction. KDD 2001 : 227-232

39 Dakshi Agrawal , Charu C. Aggarwal: On the Design and Quantification of Privacy Preserving Data Mining Algorithms. PODS 2001

38 Charu C. Aggarwal: On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. PODS 2001

37 Charu C. Aggarwal, Philip S. Yu : Outlier Detection for High Dimensional Data. SIGMOD Conference 2001

36 Charu C. Aggarwal, Fatima Al-Garawi , Philip S. Yu : Intelligent crawling on the World Wide Web with arbitrary predicates. WWW 2001 : 96-105

35 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. IEEE Transactions on Computers 50 (2): 97-110 (2001)

34 Ramesh C. Agarwal , Charu C. Aggarwal, V. V. V. Prasad : A Tree Projection Algorithm for Generation of Frequent Item Sets. Journal of Parallel and Distributed Computing 61 (3): 350-371 (2001)

33 Charu C. Aggarwal: Towards Long Pattern Generation in Dense Databases. SIGKDD Explorations 3 (1): 20-26 (2001)

32 Charu C. Aggarwal: Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. SIGMOD Record 30 (1): 13-18 (2001)

31 Charu C. Aggarwal, Philip S. Yu : A New Approach to Online Generation of Association Rules. TKDE 13 (4): 527-540 (2001)

30 Charu C. Aggarwal, Philip S. Yu : Mining Associations with the Collective Strength Approach. TKDE 13 (6): 863-873 (2001)

29 Charu C. Aggarwal, Fatima Al-Garawi , Philip S. Yu : On the design of a learning crawler for topical resource discovery. TOIS 19 (3): 286-309 (2001)

28 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

27 Ramesh C. Agarwal , Charu C. Aggarwal, V. V. V. Prasad : Depth first generation of long patterns. KDD 2000 : 108-118

26 Charu C. Aggarwal, Philip S. Yu : The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. KDD 2000 : 119-129

25 Charu C. Aggarwal, Philip S. Yu : Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference 2000 : 70-81

24 Alexander Hinneburg , Charu C. Aggarwal, Daniel A. Keim : What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000 : 506-515

23 Charu C. Aggarwal, Philip S. Yu : Data Mining Techniques for Personalization. IEEE Data Engineering Bulletin 23 (1): 4-9 (2000)

22 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)

21 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

20 Charu C. Aggarwal, Stephen C. Gates , Philip S. Yu : On the Merits of Building Categorization Systems by Supervised Clustering. KDD 1999 : 352-356

19 Charu C. Aggarwal, Philip S. Yu : Data Mining Techniques for Associations, Clustering and Classification. PAKDD 1999 : 13-23

18 Charu C. Aggarwal, Philip S. Yu : On Text Mining Techniques for Personalization. RSFDGrC 1999 : 12-18

17 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference 1999 : 407-418

16 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

15 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu , Marina Epelman : Using Unbalanced Trees for Indexing Multidimensional Objects. Knowledge and Information Systems 1 (3): 157-192 (1999)

14 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : Design and Analysis of Permutation-Based Pyramid Broadcasting. Multimedia Systems 7 (6): 439-448 (1999)

13 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : Caching on the World Wide Web. TKDE 11 (1): 95-107 (1999)

12 Charu C. Aggarwal, Zheng Sun , Philip S. Yu : Online Algorithms for Finding Profile Association Rules. CIKM 1998 : 86-95

11 Charu C. Aggarwal, Philip S. Yu : Online Generation of Association Rules. ICDE 1998 : 402-411

10 Charu C. Aggarwal, Zheng Sun , Philip S. Yu : Online Generation of Profile Association Rules. KDD 1998 : 129-133

9 Charu C. Aggarwal, Philip S. Yu : A New Framework For Itemset Generation. PODS 1998 : 18-24

8 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

7 Charu C. Aggarwal, Philip S. Yu : Mining Large Itemsets for Association Rules. Data Engineering Bulletin 21 (1): 23-31 (1998)

6 Charu C. Aggarwal, Philip S. Yu : On Disk Caching of Web Objects in Proxy Servers. CIKM 1997 : 238-245

5 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu , Marina Epelman : The S-Tree: An Efficient Index for Multidimensional Objects. SSD 1997 : 350-373

4 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. ICMCS 1996 : 118-126

3 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : On Optimal Batching Policies for Video-on-Demand Storage Servers. ICMCS 1996 : 253-258

2 Charu C. Aggarwal, Joel L. Wolf , Philip S. Yu : On Optimal Piggyback Merging Policies for Video-on-Demand Systems. SIGMETRICS 1996 : 200-209

1 Charu C. Aggarwal, N. Jain , P. Gupta : An Efficient Selection Algorithm on the Pyramid. Information Processing Letters 53 (1): 37-47 (1995)




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