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Charu C. Aggarwal Vis

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*2009
122EECharu C. Aggarwal: A Framework for Clustering Massive-Domain Data Streams. ICDE 2009: 102-113
121EECharu C. Aggarwal: On High Dimensional Projected Clustering of Uncertain Data Streams. ICDE 2009: 1152-1154
120EEDina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu: On Efficient Query Processing of Stream Counts on the Cell Processor. ICDE 2009: 748-759
119EECharu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang: Frequent pattern mining with uncertain data. KDD 2009: 29-38
118EECharu C. Aggarwal: On Segment-Based Stream Modeling and Its Applications. SDM 2009: 721-732
117EEJianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal: CONTOUR: an efficient algorithm for discovering discriminating subsequences. Data Min. Knowl. Discov. 18(1): 1-29 (2009)
116EECharu C. Aggarwal, Philip S. Yu: A Survey of Uncertain Data Algorithms and Applications. IEEE Trans. Knowl. Data Eng. 21(5): 609-623 (2009)
115EECharu C. Aggarwal: On classification and segmentation of massive audio data streams. Knowl. Inf. Syst. 20(2): 137-156 (2009)
114EECharu C. Aggarwal, Yan Xie, Philip S. Yu: GConnect: A Connectivity Index for Massive Disk-resident Graphs. PVLDB 2(1): 862-873 (2009)
2008
113EECharu C. Aggarwal, Philip S. Yu: On High Dimensional Indexing of Uncertain Data. ICDE 2008: 1460-1461
112EECharu C. Aggarwal, Philip S. Yu: A Framework for Clustering Uncertain Data Streams. ICDE 2008: 150-159
111EECharu C. Aggarwal: On Unifying Privacy and Uncertain Data Models. ICDE 2008: 386-395
110EECharu C. Aggarwal, Philip S. Yu: LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. ICDE 2008: 426-435
109EECharu C. Aggarwal, Philip S. Yu: Outlier Detection with Uncertain Data. SDM 2008: 483-493
108EECharu C. Aggarwal, Philip S. Yu: On Indexing High Demensional Data with Uncertainty. SDM 2008: 621-631
107EECharu C. Aggarwal, Philip S. Yu: On static and dynamic methods for condensation-based privacy-preserving data mining. ACM Trans. Database Syst. 33(1): (2008)
106EECharu C. Aggarwal, Philip S. Yu: A framework for condensation-based anonymization of string data. Data Min. Knowl. Discov. 16(3): 251-275 (2008)
2007
105EECharu C. Aggarwal: On Randomization, Public Information and the Curse of Dimensionality. ICDE 2007: 136-145
104EECharu C. Aggarwal: On Density Based Transforms for Uncertain Data Mining. ICDE 2007: 866-875
103EECharu C. Aggarwal: A framework for classification and segmentation of massive audio data streams. KDD 2007: 1013-1017
102EECharu C. Aggarwal, Philip S. Yu: On string classification in data streams. KDD 2007: 36-45
101EECharu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki: Xproj: a framework for projected structural clustering of xml documents. KDD 2007: 46-55
100EEJianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal: Discriminating Subsequence Discovery for Sequence Clustering. SDM 2007
99EECharu C. Aggarwal, Philip S. Yu: On Anonymization of String Data. SDM 2007
98EECharu C. Aggarwal: On Point Sampling Versus Space Sampling for Dimensionality Reduction. SDM 2007
97EECharu C. Aggarwal, Philip S. Yu: On Privacy-Preservation of Text and Sparse Binary Data with Sketches. SDM 2007
96EEKun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang: Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB 2007: 1185-1196
95EECharu C. Aggarwal: Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. IEEE Trans. Knowl. Data Eng. 19(8): 1001-1015 (2007)
2006
94EECharu C. Aggarwal: On Futuristic Query Processing in Data Streams. EDBT 2006: 41-58
93EECharu C. Aggarwal, Chen Chen, Jiawei Han: On the Inverse Classification Problem and its Applications. ICDE 2006: 111
92EECharu C. Aggarwal, Jian Pei, Bo Zhang: On privacy preservation against adversarial data mining. KDD 2006: 510-516
91EECharu C. Aggarwal: On Temporal Evolution in Data Streams. PKDD 2006: 1
90EECharu C. Aggarwal, Philip S. Yu: A Framework for Clustering Massive Text and Categorical Data Streams. SDM 2006
89EECharu C. Aggarwal: A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. SDM 2006
88EECharu C. Aggarwal: Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. SDM 2006
87EECharu C. Aggarwal: On Biased Reservoir Sampling in the Presence of Stream Evolution. VLDB 2006: 607-618
86EECharu C. Aggarwal: On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. Data Min. Knowl. Discov. 13(1): 89-117 (2006)
85EECharu 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)
84EEMohammed Javeed Zaki, Charu C. Aggarwal: XRules: An effective algorithm for structural classification of XML data. Machine Learning 62(1-2): 137-170 (2006)
2005
83EECharu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu: CSR: Speaker Recognition from Compressed VoIP Packet Stream. ICME 2005: 970-973
82EECharu C. Aggarwal: Towards exploratory test instance specific algorithms for high dimensional classification. KDD 2005: 526-531
81 Charu C. Aggarwal: On Abnormality Detection in Spuriously Populated Data Streams. SDM 2005
80 Charu C. Aggarwal, Philip S. Yu: On Variable Constraints in Privacy Preserving Data Mining. SDM 2005
79 Charu C. Aggarwal, Philip S. Yu: Online Analysis of Community Evolution in Data Streams. SDM 2005
78EECharu C. Aggarwal: On k-Anonymity and the Curse of Dimensionality. VLDB 2005: 901-909
77EECharu C. Aggarwal, Philip S. Yu: On Clustering Techniques for Change Diagnosis in Data Streams. WEBKDD 2005: 139-157
76EECharu C. Aggarwal, Paul S. Bradley: On the Use of Wavelet Decomposition for String Classification. Data Min. Knowl. Discov. 10(2): 117-139 (2005)
75EECharu 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)
74EECharu C. Aggarwal: On Change Diagnosis in Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 17(5): 587-600 (2005)
73EECharu C. Aggarwal, Philip S. Yu: An effective and efficient algorithm for high-dimensional outlier detection. VLDB J. 14(2): 211-221 (2005)
2004
72EECharu C. Aggarwal, Philip S. Yu: A Condensation Approach to Privacy Preserving Data Mining. EDBT 2004: 183-199
71EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On demand classification of data streams. KDD 2004: 503-508
70EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Projected Clustering of High Dimensional Data Streams. VLDB 2004: 852-863
69EECharu C. Aggarwal: On Leveraging User Access Patterns for Topic Specific Crawling. Data Min. Knowl. Discov. 9(2): 123-145 (2004)
68EECharu 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)
67EECharu 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)
66EECharu C. Aggarwal: A Human-Computer Interactive Method for Projected Clustering. IEEE Trans. Knowl. Data Eng. 16(4): 448-460 (2004)
2003
65 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
64EEMohammed Javeed Zaki, Charu C. Aggarwal: XRules: an effective structural classifier for XML data. KDD 2003: 316-325
63EECharu C. Aggarwal: Towards systematic design of distance functions for data mining applications. KDD 2003: 9-18
62EECharu C. Aggarwal, Dakshi Agrawal: On nearest neighbor indexing of nonlinear trajectories. PODS 2003: 252-259
61EECharu C. Aggarwal: A Framework for Change Diagnosis of Data Streams. SIGMOD Conference 2003: 575-586
60EECharu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Clustering Evolving Data Streams. VLDB 2003: 81-92
59EESrinivasan 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)
2002
58EECharu C. Aggarwal: An Intuitive Framework for Understanding Changes in Evolving Data Streams. ICDE 2002: 261
57EECharu C. Aggarwal: Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. ICDE 2002: 593-604
56EECharu C. Aggarwal: On effective classification of strings with wavelets. KDD 2002: 163-172
55EECharu C. Aggarwal: Collaborative crawling: mining user experiences for topical resource discovery. KDD 2002: 423-428
54EECharu C. Aggarwal: Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. SIGMOD Conference 2002: 452-463
53EECharu C. Aggarwal, Philip S. Yu: An Automated System for Web Portal Personalization. VLDB 2002: 1031-1040
52EECharu 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)
51EECharu C. Aggarwal, Philip S. Yu: Redefining Clustering for High-Dimensional Applications. IEEE Trans. Knowl. Data Eng. 14(2): 210-225 (2002)
50EECharu 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)
49 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)
48EECharu C. Aggarwal, James B. Orlin: On multiroute maximum flows in networks. Networks 39(1): 43-52 (2002)
47EECharu C. Aggarwal: Towards Effective and Interpretable Data Mining by Visual Interaction. SIGKDD Explorations 3(2): 11-22 (2002)
2001
46 Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu: Effective Nearest Neighbor Indexing with the Euclidean Metric. CIKM 2001: 9-16
45EECharu C. Aggarwal, Philip S. Yu: On Effective Conceptual Indexing and Similarity Search in Text Data. ICDM 2001: 3-10
44EECharu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434
43EECharu C. Aggarwal: A human-computer cooperative system for effective high dimensional clustering. KDD 2001: 221-226
42EECharu C. Aggarwal, Srinivasan Parthasarathy: Mining massively incomplete data sets by conceptual reconstruction. KDD 2001: 227-232
41EEDakshi Agrawal, Charu C. Aggarwal: On the Design and Quantification of Privacy Preserving Data Mining Algorithms. PODS 2001
40EECharu C. Aggarwal: On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. PODS 2001
39EECharu C. Aggarwal, Philip S. Yu: Outlier Detection for High Dimensional Data. SIGMOD Conference 2001: 37-46
38EECharu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu: Intelligent crawling on the World Wide Web with arbitrary predicates. WWW 2001: 96-105
37EECharu 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)
36EECharu 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)
35EECharu C. Aggarwal, Philip S. Yu: A New Approach to Online Generation of Association Rules. IEEE Trans. Knowl. Data Eng. 13(4): 527-540 (2001)
34EECharu C. Aggarwal, Philip S. Yu: Mining Associations with the Collective Strength Approach. IEEE Trans. Knowl. Data Eng. 13(6): 863-873 (2001)
33EERamesh 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)
32EECharu C. Aggarwal: Towards Long Pattern Generation in Dense Databases. SIGKDD Explorations 3(1): 20-26 (2001)
31EECharu C. Aggarwal: Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. SIGMOD Record 30(1): 13-18 (2001)
2000
30 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
29EERamesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad: Depth first generation of long patterns. KDD 2000: 108-118
28EECharu C. Aggarwal, Philip S. Yu: The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. KDD 2000: 119-129
27EECharu C. Aggarwal, Philip S. Yu: Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference 2000: 70-81
26EEAlexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515
25EECharu C. Aggarwal, Philip S. Yu: Data Mining Techniques for Personalization. IEEE Data Eng. Bull. 23(1): 4-9 (2000)
24EEKenneth A. Ross, Charu C. Aggarwal, Alfons Kemper, Sunita Sarawagi, S. Sudarshan, Mihalis Yannakakis: Reminiscences on Influential Papers. SIGMOD Record 29(3): 52-54 (2000)
1999
23EECharu 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
22EECharu C. Aggarwal, Stephen C. Gates, Philip S. Yu: On the Merits of Building Categorization Systems by Supervised Clustering. KDD 1999: 352-356
21 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
20EECharu C. Aggarwal, Philip S. Yu: Data Mining Techniques for Associations, Clustering and Classification. PAKDD 1999: 13-23
19 Charu C. Aggarwal, Philip S. Yu: On Text Mining Techniques for Personalization. RSFDGrC 1999: 12-18
18EECharu C. Aggarwal, Joel L. Wolf, Philip S. Yu: A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference 1999: 407-418
17EECharu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park: Fast Algorithms for Projected Clustering. SIGMOD Conference 1999: 61-72
16EECharu C. Aggarwal, Joel L. Wolf, Philip S. Yu: Caching on the World Wide Web. IEEE Trans. Knowl. Data Eng. 11(1): 95-107 (1999)
15EECharu 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)
14EECharu C. Aggarwal, Joel L. Wolf, Philip S. Yu: Design and Analysis of Permutation-Based Pyramid Broadcasting. Multimedia Syst. 7(6): 439-448 (1999)
1998
13EECharu C. Aggarwal, Zheng Sun, Philip S. Yu: Online Algorithms for Finding Profile Association Rules. CIKM 1998: 86-95
12EECharu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411
11 Charu C. Aggarwal, Zheng Sun, Philip S. Yu: Online Generation of Profile Association Rules. KDD 1998: 129-133
10EECharu C. Aggarwal, Philip S. Yu: A New Framework For Itemset Generation. PODS 1998: 18-24
9EECharu 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
8EECharu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21(1): 23-31 (1998)
7 Charu C. Aggarwal, Ravindra K. Ahuja, Jianxiu Hao, James B. Orlin: Diagnosing infeasibilities in network flow problems. Math. Program. 81: 263-280 (1998)
1997
6EECharu C. Aggarwal, Philip S. Yu: On Disk Caching of Web Objects in Proxy Servers. CIKM 1997: 238-245
5EECharu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman: The S-Tree: An Efficient Index for Multidimensional Objects. SSD 1997: 350-373
1996
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
1995
1EECharu C. Aggarwal, N. Jain, P. Gupta: An Efficient Selection Algorithm on the Pyramid. Inf. Process. Lett. 53(1): 37-47 (1995)

Coauthor Index

1Ramesh C. Agarwal [29] [33]
2Dakshi Agrawal [41] [62]
3Ravindra K. Ahuja [7]
4Fatima Al-Garawi [37] [38]
5Rajesh Bordawekar [120]
6Eric Bouillet [96]
7Paul S. Bradley [76]
8Chen Chen [93]
9Marina Epelman [5] [15]
10Wei Fan [96]
11Jianhua Feng [101]
12Stephen C. Gates [22] [67]
13Bugra Gedik [96]
14David George [96]
15Xiaohui Gu [96]
16P. Gupta [1]
17Jiawei Han [60] [70] [71] [75] [85] [93]
18Jianxiu Hao [7]
19Kirsten Hildrum (Kris Hildrum) [96]
20Alexander Hinneburg [26] [44]
21N. Jain [1]
22George Karypis [100] [117]
23Daniel A. Keim [26] [44]
24Alfons Kemper [24]
25Sang-Wook Kim [46]
26Yan Li [119]
27Gang Luo [96]
28David P. Olshefski [83]
29James B. Orlin [7] [48]
30Jong Soo Park [17]
31Srinivasan Parthasarathy [42] [59]
32Jian Pei [92]
33V. V. V. Prasad [29] [33]
34Cecilia M. Procopiuc (Cecilia Magdalena Procopiuc, Cecilia Magdalena Ionescu) [17] [52]
35Kenneth A. Ross [24]
36Debanjan Saha [83]
37Sunita Sarawagi [24]
38Jay Sethuraman [21]
39Zon-Yin Shae [83]
40Mark S. Squillante [21]
41S. Sudarshan [24]
42Zheng Sun [11] [13] [50]
43Na Ta [101]
44Dina Thomas [120]
45Haixun Wang [96]
46Jianyong Wang [60] [70] [71] [75] [85] [100] [101] [117] [119]
47Jing Wang [119]
48Joel L. Wolf [2] [3] [4] [5] [9] [14] [15] [16] [17] [18] [21] [23] [30] [36] [49]
49Kun-Lung Wu [23] [30] [96]
50Yan Xie [114]
51Mihalis Yannakakis [24]
52Philip S. Yu [2] [3] [4] [5] [6] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [25] [27] [28] [30] [34] [35] [36] [37] [38] [39] [45] [46] [49] [50] [51] [52] [53] [60] [67] [70] [71] [72] [73] [75] [77] [79] [80] [83] [85] [90] [96] [97] [99] [102] [106] [107] [108] [109] [110] [112] [113] [114] [116] [120]
53Mohammed Javeed Zaki (Mohammed J. Zaki) [64] [65] [84] [101]
54Yuzhou Zhang [100] [117]
55Bo Zhang [92]
56Lizhu Zhou (Li-Zhu Zhou) [100] [117]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)