DBLife: Charu C. Aggarwal

2012
170	A segment-based framework for modeling and mining data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (30): 1-29 (2012). Web SearchBibTeXDownload
2011
169	Evolutionary Clustering and Analysis of Bibliographic Networks. Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun. ASONAM 2011, 63-70. Web SearchBibTeXDownload
168	Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han. ASONAM 2011, 121-128. Web SearchBibTeXDownload
167	Towards cross-category knowledge propagation for learning visual concepts. Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang. CVPR 2011, 897-904. Web SearchBibTeXDownload
166	Optimizing quality-of-information in cost-sensitive sensor data fusion. Dong Wang, Hossein Ahmadi, Tarek F. Abdelzaher, Harshavardhan Chenji, Radu Stoleru, Charu C. Aggarwal. DCOSS 2011, 1-8. Web SearchBibTeXDownload
165	On sensor selection in linked information networks. Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun. DCOSS 2011, 1-8. Web SearchBibTeXDownload
164	Data Mining (Privacy in). Charu C. Aggarwal. Encyclopedia of Cryptography and Security (2nd Ed.) 2011, 303-306. Web SearchBibTeXDownload
163	Outlier detection in graph streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. ICDE 2011, 399-409. Web SearchBibTeXDownload
162	On dimensionality reduction of massive graphs for indexing and retrieval. Charu C. Aggarwal, Haixun Wang. ICDE 2011, 1091-1102. Web SearchBibTeXDownload
161	Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. ICDM 2011, 1176-1181. Web SearchBibTeXDownload
160	On the Hardness of Graph Anonymization. Charu C. Aggarwal, Yao Li, Philip S. Yu. ICDM 2011, 1002-1007. Web SearchBibTeXDownload
159	On dynamic data-driven selection of sensor streams. Charu C. Aggarwal, Yan Xie, Philip S. Yu. KDD 2011, 1226-1234. Web SearchBibTeXDownload
158	Discovering highly reliable subgraphs in uncertain graphs. Ruoming Jin, Lin Liu, Charu C. Aggarwal. KDD 2011, 992-1000. Web SearchBibTeXDownload
157	gSketch: On Query Estimation in Graph Streams. Peixiang Zhao, Charu C. Aggarwal, Min Wang. PVLDB (5): 193-204 (2011). Web SearchBibTeXDownload
156	On Node Classification in Dynamic Content-based Networks. Charu C. Aggarwal, Nan Li. SDM 2011, 355-366. Web SearchBibTeXDownload
155	On Anonymization of Multi-graphs. Chun Li, Charu C. Aggarwal, Jianyong Wang. SDM 2011, 711-722. Web SearchBibTeXDownload
154	On Classification of Graph Streams. Charu C. Aggarwal. SDM 2011, 652-663. Web SearchBibTeXDownload
153	On Flow Authority Discovery in Social Networks. Charu C. Aggarwal, Arijit Khan, Xifeng Yan. SDM 2011, 522-533. Web SearchBibTeXDownload
152	Towards Community Detection in Locally Heterogeneous Networks. Charu C. Aggarwal, Yan Xie, Philip S. Yu. SDM 2011, 391-402. Web SearchBibTeXDownload
151	Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. Manish Gupta, Charu C. Aggarwal, Jiawei Han. SSTD 2011, 130-148. Web SearchBibTeXDownload
150	Towards semantic knowledge propagation from text corpus to web images. Guojun Qi, Charu C. Aggarwal, Thomas S. Huang. WWW 2011, 297-306. Web SearchBibTeXDownload
2010
149	On wavelet decomposition of uncertain time series data sets. Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu. CIKM 2010, 129-138. Web SearchBibTeXDownload
148	Graph Clustering. Charu C. Aggarwal. Encyclopedia of Machine Learning 2010, 459-467. Web SearchBibTeXDownload
147	Addressing Concept-Evolution in Concept-Drifting Data Streams. Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. ICDM 2010, 929-934. Web SearchBibTeXDownload
146	The Inverse Classification Problem. Charu C. Aggarwal, Chen Chen, Jiawei Han. J. Comput. Sci. Technol. (25): 458-468 (2010). Web SearchBibTeXDownload
145	On clustering massive text and categorical data streams. Charu C. Aggarwal, Philip S. Yu. Knowl. Inf. Syst. (24): 171-196 (2010). Web SearchBibTeXDownload
144	A Survey of Algorithms for Dense Subgraph Discovery. Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal. Managing and Mining Graph Data 2010, 303-336. Web SearchBibTeXDownload
143	An Introduction to Graph Data. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 1-11. Web SearchBibTeXDownload
142	Graph Data Management and Mining: A Survey of Algorithms and Applications. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 13-68. Web SearchBibTeXDownload
141	A Survey of Clustering Algorithms for Graph Data. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 275-301. Web SearchBibTeXDownload
140	A Survey of Algorithms for Keyword Search on Graph Data. Haixun Wang, Charu C. Aggarwal. Managing and Mining Graph Data 2010, 249-273. Web SearchBibTeXDownload
139	On Dense Pattern Mining in Graph Streams. Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin. PVLDB (3): 975-984 (2010). Web SearchBibTeXDownload
138	On Multidimensional Sharpening of Uncertain Data. Charu C. Aggarwal. SDM 2010, 373-384. Web SearchBibTeXDownload
137	On Clustering Graph Streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. SDM 2010, 478-489. Web SearchBibTeXDownload
136	The Generalized Dimensionality Reduction Problem. Charu C. Aggarwal. SDM 2010, 607-618. Web SearchBibTeXDownload
135	On Classification of High-Cardinality Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2010, 802-813. Web SearchBibTeXDownload
134	Graphical models for text: a new paradigm for text representation and processing. Charu C. Aggarwal, Peixiang Zhao. SIGIR 2010, 899-900. Web SearchBibTeXDownload
133	A framework for clustering massive graph streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. Statistical Analysis and Data Mining (3): 399-416 (2010). Web SearchBibTeXDownload
2009
132	Online Auctions: There Can Be Only One. Charu C. Aggarwal, Philip S. Yu. CEC 2009, 176-181. Web SearchBibTeXDownload
131	CONTOUR: an efficient algorithm for discovering discriminating subsequences. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. Data Min. Knowl. Discov. (18): 1-29 (2009). Web SearchBibTeXDownload
130	Classification in Streams. Charu C. Aggarwal. Encyclopedia of Database Systems 2009, 340-341. Web SearchBibTeXDownload
129	On Efficient Query Processing of Stream Counts on the Cell Processor. Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu. ICDE 2009, 748-759. Cited by 2Web SearchBibTeXDownload
128	On High Dimensional Projected Clustering of Uncertain Data Streams. Charu C. Aggarwal. ICDE 2009, 1152-1154. Web SearchBibTeXDownload
127	A Framework for Clustering Massive-Domain Data Streams. Charu C. Aggarwal. ICDE 2009, 102-113. Web SearchBibTeXDownload
126	A Survey of Uncertain Data Algorithms and Applications. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (21): 609-623 (2009). Cited by 12Web SearchBibTeXDownload
125	Frequent pattern mining with uncertain data. Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. KDD 2009, 29-38. Cited by 3Web SearchBibTeXDownload
124	On classification and segmentation of massive audio data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (20): 137-156 (2009). Cited by 2Web SearchBibTeXDownload
123	GConnect: A Connectivity Index for Massive Disk-resident Graphs. Charu C. Aggarwal, Yan Xie, Philip S. Yu. PVLDB (2): 862-873 (2009). Web SearchBibTeXDownload
122	On Segment-Based Stream Modeling and Its Applications. Charu C. Aggarwal. SDM 2009, 721-732. Web SearchBibTeXDownload
2008
121	On static and dynamic methods for condensation-based privacy-preserving data mining. Charu C. Aggarwal, Philip S. Yu. ACM Trans. Database Syst. (33) (2008). Cited by 2Web SearchBibTeXDownload
120	A framework for condensation-based anonymization of string data. Charu C. Aggarwal, Philip S. Yu. Data Min. Knowl. Discov. (16): 251-275 (2008). Cited by 1Web SearchBibTeXDownload
119	Privacy-Preserving Data Mining: A Survey. Charu C. Aggarwal, Philip S. Yu. Handbook of Database Security 2008, 431-460. Web SearchBibTeXDownload
118	On Unifying Privacy and Uncertain Data Models. Charu C. Aggarwal. ICDE 2008, 386-395. Cited by 13Web SearchBibTeXDownload
117	On High Dimensional Indexing of Uncertain Data. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 1460-1461. Cited by 2Web SearchBibTeXDownload
116	LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 426-435. Cited by 1Web SearchBibTeXDownload
115	A Framework for Clustering Uncertain Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 150-159. Cited by 15Web SearchBibTeXDownload
114	A Survey of Randomization Methods for Privacy-Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 137-156. Web SearchBibTeXDownload
113	An Introduction to Privacy-Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 1-9. Web SearchBibTeXDownload
112	Privacy and the Dimensionality Curse. Charu C. Aggarwal. Privacy-Preserving Data Mining 2008, 433-460. Web SearchBibTeXDownload
111	A General Survey of Privacy-Preserving Data Mining Models and Algorithms. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 11-52. Web SearchBibTeXDownload
110	On Indexing High Demensional Data with Uncertainty. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 621-631. Web SearchBibTeXDownload
109	Outlier Detection with Uncertain Data. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 483-493. Cited by 9Web SearchBibTeXDownload
2007
108	An Introduction to Data Streams. Charu C. Aggarwal. Data Streams - Models and Algorithms 2007, 1-8. Web SearchBibTeXDownload
107	A Survey of Synopsis Construction in Data Streams. Charu C. Aggarwal, Philip S. Yu. Data Streams - Models and Algorithms 2007, 169-207. Web SearchBibTeXDownload
106	A Survey of Change Diagnosis Algorithms in Evolving Data Streams. Charu C. Aggarwal. Data Streams - Models and Algorithms 2007, 85-102. Web SearchBibTeXDownload
105	On Clustering Massive Data Streams: A Summarization Paradigm. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. Data Streams - Models and Algorithms 2007, 9-38. Web SearchBibTeXDownload
104	On Randomization, Public Information and the Curse of Dimensionality. Charu C. Aggarwal. ICDE 2007, 136-145. Web SearchBibTeXDownload
103	On Density Based Transforms for Uncertain Data Mining. Charu C. Aggarwal. ICDE 2007, 866-875. Cited by 16Web SearchBibTeXDownload
102	Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (19): 1001-1015 (2007). Web SearchBibTeXDownload
101	Xproj: a framework for projected structural clustering of xml documents. Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki. KDD 2007, 46-55. Cited by 11Web SearchBibTeXDownload
100	On string classification in data streams. Charu C. Aggarwal, Philip S. Yu. KDD 2007, 36-45. Web SearchBibTeXDownload
99	A framework for classification and segmentation of massive audio data streams. Charu C. Aggarwal. KDD 2007, 1013-1017. Cited by 2Web SearchBibTeXDownload
98	On Point Sampling Versus Space Sampling for Dimensionality Reduction. Charu C. Aggarwal. SDM 2007. Web SearchBibTeXDownload
97	Discriminating Subsequence Discovery for Sequence Clustering. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. SDM 2007. Cited by 3Web SearchBibTeXDownload
96	On Privacy-Preservation of Text and Sparse Binary Data with Sketches. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 8Web SearchBibTeXDownload
95	On Anonymization of String Data. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 3Web SearchBibTeXDownload
94	Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. Kun-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. Web SearchBibTeXDownload
2006
93	On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. Charu C. Aggarwal. Data Min. Knowl. Discov. (13): 89-117 (2006). Cited by 4Web SearchBibTeXDownload
92	On Futuristic Query Processing in Data Streams. Charu C. Aggarwal. EDBT 2006, 41-58. Cited by 3Web SearchBibTeXDownload
91	On the Inverse Classification Problem and its Applications. Charu C. Aggarwal, Chen Chen, Jiawei Han. ICDE 2006, 111. Web SearchBibTeXDownload
90	A Framework for On-Demand Classification of Evolving Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (18): 577-589 (2006). Cited by 14Web SearchBibTeXDownload
89	On privacy preservation against adversarial data mining. Charu C. Aggarwal, Jian Pei, Bo Zhang. KDD 2006, 510-516. Cited by 16Web SearchBibTeXDownload
88	XRules: An effective algorithm for structural classification of XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. Machine Learning (62): 137-170 (2006). Cited by 5Web SearchBibTeXDownload
87	On Temporal Evolution in Data Streams. Charu C. Aggarwal. PKDD 2006, 1. Web SearchBibTeXDownload
86	A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload
85	A Framework for Clustering Massive Text and Categorical Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2006. Cited by 18Web SearchBibTeXDownload
84	Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload
83	On Biased Reservoir Sampling in the Presence of Stream Evolution. Charu C. Aggarwal. VLDB 2006, 607-618. Cited by 27Web SearchBibTeXDownload
2005
82	On the Use of Wavelet Decomposition for String Classification. Charu C. Aggarwal, Paul S. Bradley. Data Min. Knowl. Discov. (10): 117-139 (2005). Cited by 6Web SearchBibTeXDownload
81	On High Dimensional Projected Clustering of Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. Data Min. Knowl. Discov. (10): 251-273 (2005). Cited by 14Web SearchBibTeXDownload
80	CSR: Speaker Recognition from Compressed VoIP Packet Stream. Charu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu. ICME 2005, 970-973. Cited by 8Web SearchBibTeXDownload
79	On Change Diagnosis in Evolving Data Streams. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (17): 587-600 (2005). Cited by 27Web SearchBibTeXDownload
78	Towards exploratory test instance specific algorithms for high dimensional classification. Charu C. Aggarwal. KDD 2005, 526-531. Cited by 5Web SearchBibTeXDownload
77	On Abnormality Detection in Spuriously Populated Data Streams. Charu C. Aggarwal. SDM 2005. Cited by 17Web SearchBibTeX
76	On Variable Constraints in Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 9Web SearchBibTeX
75	Online Analysis of Community Evolution in Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 14Web SearchBibTeX
74	On k-Anonymity and the Curse of Dimensionality. Charu C. Aggarwal. VLDB 2005, 901-909. Cited by 148Web SearchBibTeXDownload
73	An effective and efficient algorithm for high-dimensional outlier detection. Charu C. Aggarwal, Philip S. Yu. VLDB J. (14): 211-221 (2005). Cited by 51Web SearchBibTeXDownload
72	On Clustering Techniques for Change Diagnosis in Data Streams. Charu C. Aggarwal, Philip S. Yu. WEBKDD 2005, 139-157. Web SearchBibTeXDownload
2004
71	On Leveraging User Access Patterns for Topic Specific Crawling. Charu C. Aggarwal. Data Min. Knowl. Discov. (9): 123-145 (2004). Cited by 9Web SearchBibTeXDownload
70	A Condensation Approach to Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. EDBT 2004, 183-199. Cited by 130Web SearchBibTeXDownload
69	A Human-Computer Interactive Method for Projected Clustering. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 448-460 (2004). Cited by 14Web SearchBibTeXDownload
68	An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 1247-1262 (2004). Web SearchBibTeXDownload
67	On Using Partial Supervision for Text Categorization. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (16): 245-255 (2004). Cited by 18Web SearchBibTeXDownload
66	On demand classification of data streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. KDD 2004, 503-508. Cited by 103Web SearchBibTeXDownload
65	A Framework for Projected Clustering of High Dimensional Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2004, 852-863. Cited by 145Web SearchBibTeXDownload
2003
64	On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. Srinivasan Parthasarathy, Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (15): 1512-1521 (2003). Cited by 14Web SearchBibTeXDownload
63	Towards systematic design of distance functions for data mining applications. Charu C. Aggarwal. KDD 2003, 9-18. Cited by 38Web SearchBibTeXDownload
62	XRules: an effective structural classifier for XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. KDD 2003, 316-325. Cited by 136Web SearchBibTeXDownload
61	On nearest neighbor indexing of nonlinear trajectories. Charu C. Aggarwal, Dakshi Agrawal. PODS 2003, 252-259. Cited by 28Web SearchBibTeXDownload
60	A Framework for Change Diagnosis of Data Streams. Charu C. Aggarwal. SIGMOD Conference 2003, 575-586. Web SearchBibTeXDownload
59	A Framework for Clustering Evolving Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2003, 81-92. Cited by 441Web SearchBibTeXDownload
2002
58	An Intuitive Framework for Understanding Changes in Evolving Data Streams. Charu C. Aggarwal. ICDE 2002, 261. Cited by 115Web SearchBibTeXDownload
57	Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. Charu C. Aggarwal. ICDE 2002, 593-604. Cited by 15Web SearchBibTeXDownload
56	Fast Algorithms for Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 1017-1028 (2002). Cited by 5Web SearchBibTeXDownload
55	Redefining Clustering for High-Dimensional Applications. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 210-225 (2002). Cited by 57Web SearchBibTeXDownload
54	Finding Localized Associations in Market Basket Data. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 51-62 (2002). Cited by 45Web SearchBibTeXDownload
53	On effective classification of strings with wavelets. Charu C. Aggarwal. KDD 2002, 163-172. Cited by 13Web SearchBibTeXDownload
52	Collaborative crawling: mining user experiences for topical resource discovery. Charu C. Aggarwal. KDD 2002, 423-428. Cited by 17Web SearchBibTeXDownload
51	Adaptive Piggybacking Schemes for Video-On-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Multimedia Tools Appl. (16): 231-250 (2002). Cited by 4Web SearchBibTeXDownload
50	On multiroute maximum flows in networks. Charu C. Aggarwal, James B. Orlin. Networks (39): 43-52 (2002). Cited by 27Web SearchBibTeXDownload
49	Towards Effective and Interpretable Data Mining by Visual Interaction. Charu C. Aggarwal. SIGKDD Explorations (3): 11-22 (2002). Cited by 32Web SearchBibTeXDownload
48	Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. Charu C. Aggarwal. SIGMOD Conference 2002, 452-463. Web SearchBibTeXDownload
47	An Automated System for Web Portal Personalization. Charu C. Aggarwal, Philip S. Yu. VLDB 2002, 1031-1040. Cited by 12Web SearchBibTeXDownload
2001
46	On the design of a learning crawler for topical resource discovery. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu. ACM Trans. Inf. Syst. (19): 286-309 (2001). Cited by 27Web SearchBibTeXDownload
45	Effective Nearest Neighbor Indexing with the Euclidean Metric. Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu. CIKM 2001, 9-16. Cited by 4Web SearchBibTeX
44	On Effective Conceptual Indexing and Similarity Search in Text Data. Charu C. Aggarwal, Philip S. Yu. ICDM 2001, 3-10. Cited by 19Web SearchBibTeXDownload
43	On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim. ICDT 2001, 420-434. Cited by 281Web SearchBibTeXDownload
42	The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. IEEE Trans. Computers (50): 97-110 (2001). Cited by 83Web SearchBibTeXDownload
41	A New Approach to Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (13): 527-540 (2001). Cited by 76Web SearchBibTeXDownload
40	Mining Associations with the Collective Strength Approach. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (13): 863-873 (2001). Cited by 19Web SearchBibTeXDownload
39	A Tree Projection Algorithm for Generation of Frequent Item Sets. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. J. Parallel Distrib. Comput. (61): 350-371 (2001). Cited by 391Web SearchBibTeXDownload
38	Mining massively incomplete data sets by conceptual reconstruction. Charu C. Aggarwal, Srinivasan Parthasarathy. KDD 2001, 227-232. Cited by 24Web SearchBibTeXDownload
37	A human-computer cooperative system for effective high dimensional clustering. Charu C. Aggarwal. KDD 2001, 221-226. Cited by 31Web SearchBibTeXDownload
36	On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. Charu C. Aggarwal. PODS 2001. Cited by 68Web SearchBibTeXDownload
35	On the Design and Quantification of Privacy Preserving Data Mining Algorithms. Dakshi Agrawal, Charu C. Aggarwal. PODS 2001. Cited by 480Web SearchBibTeXDownload
34	Towards Long Pattern Generation in Dense Databases. Charu C. Aggarwal. SIGKDD Explorations (3): 20-26 (2001). Cited by 20Web SearchBibTeXDownload
33	Outlier Detection for High Dimensional Data. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2001, 37-46. Cited by 318Web SearchBibTeXDownload
32	Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. Charu C. Aggarwal. SIGMOD Record (30): 13-18 (2001). Cited by 47Web SearchBibTeXDownload
31	Intelligent crawling on the World Wide Web with arbitrary predicates. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu. WWW 2001, 96-105. Cited by 229Web SearchBibTeXDownload
2000
30	The Intelligent Recommendation Analyzer. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web 2000, F67-F72. Cited by 5Web SearchBibTeX
29	Data Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (23): 4-9 (2000). Cited by 30Web SearchBibTeXDownload
28	The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. Charu C. Aggarwal, Philip S. Yu. KDD 2000, 119-129. Cited by 43Web SearchBibTeXDownload
27	Depth first generation of long patterns. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. KDD 2000, 108-118. Cited by 254Web SearchBibTeXDownload
26	Finding Generalized Projected Clusters In High Dimensional Spaces. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2000, 70-81. Cited by 353Web SearchBibTeX
25	Reminiscences on Influential Papers. Kenneth A. Ross, Amr El Abbadi, Sophie Cluet, Kaladhar Voruganti, Guy M. Lohman, Moshe Y. Vardi, Gultekin Özsoyoglu, Gerhard Weikum, Philip S. Yu, Timos K. Sellis, Patrick Valduriez. SIGMOD Record (29): 52-65 (2000). Web SearchBibTeXDownload
24	What Is the Nearest Neighbor in High Dimensional Spaces?. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim. VLDB 2000, 506-515. Cited by 237Web SearchBibTeX
1999
23	Caching on the World Wide Web. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (11): 95-107 (1999). Cited by 302Web SearchBibTeXDownload
22	Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. KDD 1999, 201-212. Cited by 256Web SearchBibTeXDownload
21	On the Merits of Building Categorization Systems by Supervised Clustering. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu. KDD 1999, 352-356. Cited by 90Web SearchBibTeXDownload
20	Using Unbalanced Trees for Indexing Multidimensional Objects. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman. Knowl. Inf. Syst. (1): 157-192 (1999). Cited by 6Web SearchBibTeXDownload
19	Optimizing Profits in the Broadcast Delivery of Multimedia Products. Charu C. Aggarwal, Mark S. Squillante, Joel L. Wolf, Philip S. Yu, Jay Sethuraman. Multimedia Information Systems 1999, 88-95. Cited by 6Web SearchBibTeX
18	Design and Analysis of Permutation-Based Pyramid Broadcasting. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Multimedia Syst. (7): 439-448 (1999). Cited by 19Web SearchBibTeXDownload
17	Data Mining Techniques for Associations, Clustering and Classification. Charu C. Aggarwal, Philip S. Yu. PAKDD 1999, 13-23. Cited by 22Web SearchBibTeXDownload
16	On Text Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. RSFDGrC 1999, 12-18. Cited by 13Web SearchBibTeXDownload
15	A New Method for Similarity Indexing of Market Basket Data. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. SIGMOD Conference 1999, 407-418. Cited by 47Web SearchBibTeX
14	Fast Algorithms for Projected Clustering. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park. SIGMOD Conference 1999, 61-72. Cited by 504Web SearchBibTeX
1998
13	Online Algorithms for Finding Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. CIKM 1998, 86-95. Cited by 30Web SearchBibTeX
12	Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. ICDE 1998, 402-411. Cited by 134Web SearchBibTeXDownload
11	Mining Large Itemsets for Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (21): 23-31 (1998). Cited by 56Web SearchBibTeX
10	Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. KDD 1998, 129-133. Cited by 27Web SearchBibTeX
9	Diagnosing infeasibilities in network flow problems. Charu C. Aggarwal, Ravindra K. Ahuja, Jianxiu Hao, James B. Orlin. Math. Program. (81): 263-280 (1998). Cited by 9Web SearchBibTeXDownload
8	A New Framework For Itemset Generation. Charu C. Aggarwal, Philip S. Yu. PODS 1998, 18-24. Cited by 111Web SearchBibTeX
7	A Framework for the Optimizing of WWW Advertising. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Trends in Distributed Systems for Electronic Commerce 1998, 1-10. Cited by 19Web SearchBibTeXDownload
1997
6	On Disk Caching of Web Objects in Proxy Servers. Charu C. Aggarwal, Philip S. Yu. CIKM 1997, 238-245. Cited by 25Web SearchBibTeXDownload
5	The S-Tree: An Efficient Index for Multidimensional Objects. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman. SSD 1997, 350-373. Cited by 19Web SearchBibTeXDownload
1996
4	On Optimal Batching Policies for Video-on-Demand Storage Servers. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. ICMCS 1996, 253-258. Cited by 253Web SearchBibTeX
3	A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. ICMCS 1996, 118-126. Cited by 265Web SearchBibTeX
2	On Optimal Piggyback Merging Policies for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. SIGMETRICS 1996, 200-209. Cited by 116Web SearchBibTeXDownload
1995
1	An Efficient Selection Algorithm on the Pyramid. Charu C. Aggarwal, N. Jain, P. Gupta. Inf. Process. Lett. (53): 37-47 (1995). Cited by 9Web SearchBibTeXDownload

2012

170

A segment-based framework for modeling and mining data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (30): 1-29 (2012). Web SearchBibTeXDownload

2011

169

Evolutionary Clustering and Analysis of Bibliographic Networks. Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun. ASONAM 2011, 63-70. Web SearchBibTeXDownload

168

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han. ASONAM 2011, 121-128. Web SearchBibTeXDownload

167

Towards cross-category knowledge propagation for learning visual concepts. Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang. CVPR 2011, 897-904. Web SearchBibTeXDownload

166

Optimizing quality-of-information in cost-sensitive sensor data fusion. Dong Wang, Hossein Ahmadi, Tarek F. Abdelzaher, Harshavardhan Chenji, Radu Stoleru, Charu C. Aggarwal. DCOSS 2011, 1-8. Web SearchBibTeXDownload

165

On sensor selection in linked information networks. Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun. DCOSS 2011, 1-8. Web SearchBibTeXDownload

164

Data Mining (Privacy in). Charu C. Aggarwal. Encyclopedia of Cryptography and Security (2nd Ed.) 2011, 303-306. Web SearchBibTeXDownload

163

Outlier detection in graph streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. ICDE 2011, 399-409. Web SearchBibTeXDownload

162

On dimensionality reduction of massive graphs for indexing and retrieval. Charu C. Aggarwal, Haixun Wang. ICDE 2011, 1091-1102. Web SearchBibTeXDownload

161

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. ICDM 2011, 1176-1181. Web SearchBibTeXDownload

160

On the Hardness of Graph Anonymization. Charu C. Aggarwal, Yao Li, Philip S. Yu. ICDM 2011, 1002-1007. Web SearchBibTeXDownload

159

On dynamic data-driven selection of sensor streams. Charu C. Aggarwal, Yan Xie, Philip S. Yu. KDD 2011, 1226-1234. Web SearchBibTeXDownload

158

Discovering highly reliable subgraphs in uncertain graphs. Ruoming Jin, Lin Liu, Charu C. Aggarwal. KDD 2011, 992-1000. Web SearchBibTeXDownload

157

gSketch: On Query Estimation in Graph Streams. Peixiang Zhao, Charu C. Aggarwal, Min Wang. PVLDB (5): 193-204 (2011). Web SearchBibTeXDownload

156

On Node Classification in Dynamic Content-based Networks. Charu C. Aggarwal, Nan Li. SDM 2011, 355-366. Web SearchBibTeXDownload

155

On Anonymization of Multi-graphs. Chun Li, Charu C. Aggarwal, Jianyong Wang. SDM 2011, 711-722. Web SearchBibTeXDownload

154

On Classification of Graph Streams. Charu C. Aggarwal. SDM 2011, 652-663. Web SearchBibTeXDownload

153

On Flow Authority Discovery in Social Networks. Charu C. Aggarwal, Arijit Khan, Xifeng Yan. SDM 2011, 522-533. Web SearchBibTeXDownload

152

Towards Community Detection in Locally Heterogeneous Networks. Charu C. Aggarwal, Yan Xie, Philip S. Yu. SDM 2011, 391-402. Web SearchBibTeXDownload

151

Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. Manish Gupta, Charu C. Aggarwal, Jiawei Han. SSTD 2011, 130-148. Web SearchBibTeXDownload

150

Towards semantic knowledge propagation from text corpus to web images. Guojun Qi, Charu C. Aggarwal, Thomas S. Huang. WWW 2011, 297-306. Web SearchBibTeXDownload

2010

149

On wavelet decomposition of uncertain time series data sets. Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu. CIKM 2010, 129-138. Web SearchBibTeXDownload

148

Graph Clustering. Charu C. Aggarwal. Encyclopedia of Machine Learning 2010, 459-467. Web SearchBibTeXDownload

147

Addressing Concept-Evolution in Concept-Drifting Data Streams. Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. ICDM 2010, 929-934. Web SearchBibTeXDownload

146

The Inverse Classification Problem. Charu C. Aggarwal, Chen Chen, Jiawei Han. J. Comput. Sci. Technol. (25): 458-468 (2010). Web SearchBibTeXDownload

145

On clustering massive text and categorical data streams. Charu C. Aggarwal, Philip S. Yu. Knowl. Inf. Syst. (24): 171-196 (2010). Web SearchBibTeXDownload

144

A Survey of Algorithms for Dense Subgraph Discovery. Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal. Managing and Mining Graph Data 2010, 303-336. Web SearchBibTeXDownload

143

An Introduction to Graph Data. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 1-11. Web SearchBibTeXDownload

142

Graph Data Management and Mining: A Survey of Algorithms and Applications. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 13-68. Web SearchBibTeXDownload

141

A Survey of Clustering Algorithms for Graph Data. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 275-301. Web SearchBibTeXDownload

140

A Survey of Algorithms for Keyword Search on Graph Data. Haixun Wang, Charu C. Aggarwal. Managing and Mining Graph Data 2010, 249-273. Web SearchBibTeXDownload

139

On Dense Pattern Mining in Graph Streams. Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin. PVLDB (3): 975-984 (2010). Web SearchBibTeXDownload

138

On Multidimensional Sharpening of Uncertain Data. Charu C. Aggarwal. SDM 2010, 373-384. Web SearchBibTeXDownload

137

On Clustering Graph Streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. SDM 2010, 478-489. Web SearchBibTeXDownload

136

The Generalized Dimensionality Reduction Problem. Charu C. Aggarwal. SDM 2010, 607-618. Web SearchBibTeXDownload

135

On Classification of High-Cardinality Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2010, 802-813. Web SearchBibTeXDownload

134

Graphical models for text: a new paradigm for text representation and processing. Charu C. Aggarwal, Peixiang Zhao. SIGIR 2010, 899-900. Web SearchBibTeXDownload

133

A framework for clustering massive graph streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. Statistical Analysis and Data Mining (3): 399-416 (2010). Web SearchBibTeXDownload

2009

132

Online Auctions: There Can Be Only One. Charu C. Aggarwal, Philip S. Yu. CEC 2009, 176-181. Web SearchBibTeXDownload

131

CONTOUR: an efficient algorithm for discovering discriminating subsequences. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. Data Min. Knowl. Discov. (18): 1-29 (2009). Web SearchBibTeXDownload

130

Classification in Streams. Charu C. Aggarwal. Encyclopedia of Database Systems 2009, 340-341. Web SearchBibTeXDownload

129

On Efficient Query Processing of Stream Counts on the Cell Processor. Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu. ICDE 2009, 748-759. Cited by 2Web SearchBibTeXDownload

128

On High Dimensional Projected Clustering of Uncertain Data Streams. Charu C. Aggarwal. ICDE 2009, 1152-1154. Web SearchBibTeXDownload

127

A Framework for Clustering Massive-Domain Data Streams. Charu C. Aggarwal. ICDE 2009, 102-113. Web SearchBibTeXDownload

126

A Survey of Uncertain Data Algorithms and Applications. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (21): 609-623 (2009). Cited by 12Web SearchBibTeXDownload

125

Frequent pattern mining with uncertain data. Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. KDD 2009, 29-38. Cited by 3Web SearchBibTeXDownload

124

On classification and segmentation of massive audio data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (20): 137-156 (2009). Cited by 2Web SearchBibTeXDownload

123

GConnect: A Connectivity Index for Massive Disk-resident Graphs. Charu C. Aggarwal, Yan Xie, Philip S. Yu. PVLDB (2): 862-873 (2009). Web SearchBibTeXDownload

122

On Segment-Based Stream Modeling and Its Applications. Charu C. Aggarwal. SDM 2009, 721-732. Web SearchBibTeXDownload

2008

121

On static and dynamic methods for condensation-based privacy-preserving data mining. Charu C. Aggarwal, Philip S. Yu. ACM Trans. Database Syst. (33) (2008). Cited by 2Web SearchBibTeXDownload

120

A framework for condensation-based anonymization of string data. Charu C. Aggarwal, Philip S. Yu. Data Min. Knowl. Discov. (16): 251-275 (2008). Cited by 1Web SearchBibTeXDownload

119

Privacy-Preserving Data Mining: A Survey. Charu C. Aggarwal, Philip S. Yu. Handbook of Database Security 2008, 431-460. Web SearchBibTeXDownload

118

On Unifying Privacy and Uncertain Data Models. Charu C. Aggarwal. ICDE 2008, 386-395. Cited by 13Web SearchBibTeXDownload

117

On High Dimensional Indexing of Uncertain Data. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 1460-1461. Cited by 2Web SearchBibTeXDownload

116

LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 426-435. Cited by 1Web SearchBibTeXDownload

115

A Framework for Clustering Uncertain Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 150-159. Cited by 15Web SearchBibTeXDownload

114

A Survey of Randomization Methods for Privacy-Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 137-156. Web SearchBibTeXDownload

113

An Introduction to Privacy-Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 1-9. Web SearchBibTeXDownload

112

Privacy and the Dimensionality Curse. Charu C. Aggarwal. Privacy-Preserving Data Mining 2008, 433-460. Web SearchBibTeXDownload

111

A General Survey of Privacy-Preserving Data Mining Models and Algorithms. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 11-52. Web SearchBibTeXDownload

110

On Indexing High Demensional Data with Uncertainty. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 621-631. Web SearchBibTeXDownload

109

Outlier Detection with Uncertain Data. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 483-493. Cited by 9Web SearchBibTeXDownload

2007

108

An Introduction to Data Streams. Charu C. Aggarwal. Data Streams - Models and Algorithms 2007, 1-8. Web SearchBibTeXDownload

107

A Survey of Synopsis Construction in Data Streams. Charu C. Aggarwal, Philip S. Yu. Data Streams - Models and Algorithms 2007, 169-207. Web SearchBibTeXDownload

106

A Survey of Change Diagnosis Algorithms in Evolving Data Streams. Charu C. Aggarwal. Data Streams - Models and Algorithms 2007, 85-102. Web SearchBibTeXDownload

105

On Clustering Massive Data Streams: A Summarization Paradigm. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. Data Streams - Models and Algorithms 2007, 9-38. Web SearchBibTeXDownload

104

On Randomization, Public Information and the Curse of Dimensionality. Charu C. Aggarwal. ICDE 2007, 136-145. Web SearchBibTeXDownload

103

On Density Based Transforms for Uncertain Data Mining. Charu C. Aggarwal. ICDE 2007, 866-875. Cited by 16Web SearchBibTeXDownload

102

Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (19): 1001-1015 (2007). Web SearchBibTeXDownload

101

Xproj: a framework for projected structural clustering of xml documents. Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki. KDD 2007, 46-55. Cited by 11Web SearchBibTeXDownload

100

On string classification in data streams. Charu C. Aggarwal, Philip S. Yu. KDD 2007, 36-45. Web SearchBibTeXDownload

A framework for classification and segmentation of massive audio data streams. Charu C. Aggarwal. KDD 2007, 1013-1017. Cited by 2Web SearchBibTeXDownload

On Point Sampling Versus Space Sampling for Dimensionality Reduction. Charu C. Aggarwal. SDM 2007. Web SearchBibTeXDownload

Discriminating Subsequence Discovery for Sequence Clustering. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. SDM 2007. Cited by 3Web SearchBibTeXDownload

On Privacy-Preservation of Text and Sparse Binary Data with Sketches. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 8Web SearchBibTeXDownload

On Anonymization of String Data. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 3Web SearchBibTeXDownload

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

2006

On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. Charu C. Aggarwal. Data Min. Knowl. Discov. (13): 89-117 (2006). Cited by 4Web SearchBibTeXDownload

On Futuristic Query Processing in Data Streams. Charu C. Aggarwal. EDBT 2006, 41-58. Cited by 3Web SearchBibTeXDownload

On the Inverse Classification Problem and its Applications. Charu C. Aggarwal, Chen Chen, Jiawei Han. ICDE 2006, 111. Web SearchBibTeXDownload

A Framework for On-Demand Classification of Evolving Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (18): 577-589 (2006). Cited by 14Web SearchBibTeXDownload

On privacy preservation against adversarial data mining. Charu C. Aggarwal, Jian Pei, Bo Zhang. KDD 2006, 510-516. Cited by 16Web SearchBibTeXDownload

XRules: An effective algorithm for structural classification of XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. Machine Learning (62): 137-170 (2006). Cited by 5Web SearchBibTeXDownload

On Temporal Evolution in Data Streams. Charu C. Aggarwal. PKDD 2006, 1. Web SearchBibTeXDownload

A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload

A Framework for Clustering Massive Text and Categorical Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2006. Cited by 18Web SearchBibTeXDownload

Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload

On Biased Reservoir Sampling in the Presence of Stream Evolution. Charu C. Aggarwal. VLDB 2006, 607-618. Cited by 27Web SearchBibTeXDownload

2005

On the Use of Wavelet Decomposition for String Classification. Charu C. Aggarwal, Paul S. Bradley. Data Min. Knowl. Discov. (10): 117-139 (2005). Cited by 6Web SearchBibTeXDownload

On High Dimensional Projected Clustering of Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. Data Min. Knowl. Discov. (10): 251-273 (2005). Cited by 14Web SearchBibTeXDownload

CSR: Speaker Recognition from Compressed VoIP Packet Stream. Charu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu. ICME 2005, 970-973. Cited by 8Web SearchBibTeXDownload

On Change Diagnosis in Evolving Data Streams. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (17): 587-600 (2005). Cited by 27Web SearchBibTeXDownload

Towards exploratory test instance specific algorithms for high dimensional classification. Charu C. Aggarwal. KDD 2005, 526-531. Cited by 5Web SearchBibTeXDownload

On Abnormality Detection in Spuriously Populated Data Streams. Charu C. Aggarwal. SDM 2005. Cited by 17Web SearchBibTeX

On Variable Constraints in Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 9Web SearchBibTeX

Online Analysis of Community Evolution in Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 14Web SearchBibTeX

On k-Anonymity and the Curse of Dimensionality. Charu C. Aggarwal. VLDB 2005, 901-909. Cited by 148Web SearchBibTeXDownload

An effective and efficient algorithm for high-dimensional outlier detection. Charu C. Aggarwal, Philip S. Yu. VLDB J. (14): 211-221 (2005). Cited by 51Web SearchBibTeXDownload

On Clustering Techniques for Change Diagnosis in Data Streams. Charu C. Aggarwal, Philip S. Yu. WEBKDD 2005, 139-157. Web SearchBibTeXDownload

2004

On Leveraging User Access Patterns for Topic Specific Crawling. Charu C. Aggarwal. Data Min. Knowl. Discov. (9): 123-145 (2004). Cited by 9Web SearchBibTeXDownload

A Condensation Approach to Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. EDBT 2004, 183-199. Cited by 130Web SearchBibTeXDownload

A Human-Computer Interactive Method for Projected Clustering. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 448-460 (2004). Cited by 14Web SearchBibTeXDownload

An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 1247-1262 (2004). Web SearchBibTeXDownload

On Using Partial Supervision for Text Categorization. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (16): 245-255 (2004). Cited by 18Web SearchBibTeXDownload

On demand classification of data streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. KDD 2004, 503-508. Cited by 103Web SearchBibTeXDownload

A Framework for Projected Clustering of High Dimensional Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2004, 852-863. Cited by 145Web SearchBibTeXDownload

2003

On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. Srinivasan Parthasarathy, Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (15): 1512-1521 (2003). Cited by 14Web SearchBibTeXDownload

Towards systematic design of distance functions for data mining applications. Charu C. Aggarwal. KDD 2003, 9-18. Cited by 38Web SearchBibTeXDownload

XRules: an effective structural classifier for XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. KDD 2003, 316-325. Cited by 136Web SearchBibTeXDownload

On nearest neighbor indexing of nonlinear trajectories. Charu C. Aggarwal, Dakshi Agrawal. PODS 2003, 252-259. Cited by 28Web SearchBibTeXDownload

A Framework for Change Diagnosis of Data Streams. Charu C. Aggarwal. SIGMOD Conference 2003, 575-586. Web SearchBibTeXDownload

A Framework for Clustering Evolving Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2003, 81-92. Cited by 441Web SearchBibTeXDownload

2002

An Intuitive Framework for Understanding Changes in Evolving Data Streams. Charu C. Aggarwal. ICDE 2002, 261. Cited by 115Web SearchBibTeXDownload

Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. Charu C. Aggarwal. ICDE 2002, 593-604. Cited by 15Web SearchBibTeXDownload

Fast Algorithms for Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 1017-1028 (2002). Cited by 5Web SearchBibTeXDownload

Redefining Clustering for High-Dimensional Applications. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 210-225 (2002). Cited by 57Web SearchBibTeXDownload

Finding Localized Associations in Market Basket Data. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 51-62 (2002). Cited by 45Web SearchBibTeXDownload

On effective classification of strings with wavelets. Charu C. Aggarwal. KDD 2002, 163-172. Cited by 13Web SearchBibTeXDownload

Collaborative crawling: mining user experiences for topical resource discovery. Charu C. Aggarwal. KDD 2002, 423-428. Cited by 17Web SearchBibTeXDownload

Adaptive Piggybacking Schemes for Video-On-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Multimedia Tools Appl. (16): 231-250 (2002). Cited by 4Web SearchBibTeXDownload

On multiroute maximum flows in networks. Charu C. Aggarwal, James B. Orlin. Networks (39): 43-52 (2002). Cited by 27Web SearchBibTeXDownload

Towards Effective and Interpretable Data Mining by Visual Interaction. Charu C. Aggarwal. SIGKDD Explorations (3): 11-22 (2002). Cited by 32Web SearchBibTeXDownload

Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. Charu C. Aggarwal. SIGMOD Conference 2002, 452-463. Web SearchBibTeXDownload

An Automated System for Web Portal Personalization. Charu C. Aggarwal, Philip S. Yu. VLDB 2002, 1031-1040. Cited by 12Web SearchBibTeXDownload

2001

On the design of a learning crawler for topical resource discovery. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu. ACM Trans. Inf. Syst. (19): 286-309 (2001). Cited by 27Web SearchBibTeXDownload

Effective Nearest Neighbor Indexing with the Euclidean Metric. Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu. CIKM 2001, 9-16. Cited by 4Web SearchBibTeX

On Effective Conceptual Indexing and Similarity Search in Text Data. Charu C. Aggarwal, Philip S. Yu. ICDM 2001, 3-10. Cited by 19Web SearchBibTeXDownload

On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim. ICDT 2001, 420-434. Cited by 281Web SearchBibTeXDownload

The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. IEEE Trans. Computers (50): 97-110 (2001). Cited by 83Web SearchBibTeXDownload

A New Approach to Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (13): 527-540 (2001). Cited by 76Web SearchBibTeXDownload

Mining Associations with the Collective Strength Approach. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (13): 863-873 (2001). Cited by 19Web SearchBibTeXDownload

A Tree Projection Algorithm for Generation of Frequent Item Sets. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. J. Parallel Distrib. Comput. (61): 350-371 (2001). Cited by 391Web SearchBibTeXDownload

Mining massively incomplete data sets by conceptual reconstruction. Charu C. Aggarwal, Srinivasan Parthasarathy. KDD 2001, 227-232. Cited by 24Web SearchBibTeXDownload

A human-computer cooperative system for effective high dimensional clustering. Charu C. Aggarwal. KDD 2001, 221-226. Cited by 31Web SearchBibTeXDownload

On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. Charu C. Aggarwal. PODS 2001. Cited by 68Web SearchBibTeXDownload

On the Design and Quantification of Privacy Preserving Data Mining Algorithms. Dakshi Agrawal, Charu C. Aggarwal. PODS 2001. Cited by 480Web SearchBibTeXDownload

Towards Long Pattern Generation in Dense Databases. Charu C. Aggarwal. SIGKDD Explorations (3): 20-26 (2001). Cited by 20Web SearchBibTeXDownload

Outlier Detection for High Dimensional Data. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2001, 37-46. Cited by 318Web SearchBibTeXDownload

Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. Charu C. Aggarwal. SIGMOD Record (30): 13-18 (2001). Cited by 47Web SearchBibTeXDownload

Intelligent crawling on the World Wide Web with arbitrary predicates. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu. WWW 2001, 96-105. Cited by 229Web SearchBibTeXDownload

2000

The Intelligent Recommendation Analyzer. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web 2000, F67-F72. Cited by 5Web SearchBibTeX

Data Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (23): 4-9 (2000). Cited by 30Web SearchBibTeXDownload

The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. Charu C. Aggarwal, Philip S. Yu. KDD 2000, 119-129. Cited by 43Web SearchBibTeXDownload

Depth first generation of long patterns. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. KDD 2000, 108-118. Cited by 254Web SearchBibTeXDownload

Finding Generalized Projected Clusters In High Dimensional Spaces. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2000, 70-81. Cited by 353Web SearchBibTeX

Reminiscences on Influential Papers. Kenneth A. Ross, Amr El Abbadi, Sophie Cluet, Kaladhar Voruganti, Guy M. Lohman, Moshe Y. Vardi, Gultekin Özsoyoglu, Gerhard Weikum, Philip S. Yu, Timos K. Sellis, Patrick Valduriez. SIGMOD Record (29): 52-65 (2000). Web SearchBibTeXDownload

What Is the Nearest Neighbor in High Dimensional Spaces?. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim. VLDB 2000, 506-515. Cited by 237Web SearchBibTeX

1999

Caching on the World Wide Web. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (11): 95-107 (1999). Cited by 302Web SearchBibTeXDownload

Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. KDD 1999, 201-212. Cited by 256Web SearchBibTeXDownload

On the Merits of Building Categorization Systems by Supervised Clustering. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu. KDD 1999, 352-356. Cited by 90Web SearchBibTeXDownload

Using Unbalanced Trees for Indexing Multidimensional Objects. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman. Knowl. Inf. Syst. (1): 157-192 (1999). Cited by 6Web SearchBibTeXDownload

Optimizing Profits in the Broadcast Delivery of Multimedia Products. Charu C. Aggarwal, Mark S. Squillante, Joel L. Wolf, Philip S. Yu, Jay Sethuraman. Multimedia Information Systems 1999, 88-95. Cited by 6Web SearchBibTeX

Design and Analysis of Permutation-Based Pyramid Broadcasting. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Multimedia Syst. (7): 439-448 (1999). Cited by 19Web SearchBibTeXDownload

Data Mining Techniques for Associations, Clustering and Classification. Charu C. Aggarwal, Philip S. Yu. PAKDD 1999, 13-23. Cited by 22Web SearchBibTeXDownload

On Text Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. RSFDGrC 1999, 12-18. Cited by 13Web SearchBibTeXDownload

A New Method for Similarity Indexing of Market Basket Data. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. SIGMOD Conference 1999, 407-418. Cited by 47Web SearchBibTeX

Fast Algorithms for Projected Clustering. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park. SIGMOD Conference 1999, 61-72. Cited by 504Web SearchBibTeX

1998

Online Algorithms for Finding Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. CIKM 1998, 86-95. Cited by 30Web SearchBibTeX

Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. ICDE 1998, 402-411. Cited by 134Web SearchBibTeXDownload

Mining Large Itemsets for Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (21): 23-31 (1998). Cited by 56Web SearchBibTeX

Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. KDD 1998, 129-133. Cited by 27Web SearchBibTeX

Diagnosing infeasibilities in network flow problems. Charu C. Aggarwal, Ravindra K. Ahuja, Jianxiu Hao, James B. Orlin. Math. Program. (81): 263-280 (1998). Cited by 9Web SearchBibTeXDownload

A New Framework For Itemset Generation. Charu C. Aggarwal, Philip S. Yu. PODS 1998, 18-24. Cited by 111Web SearchBibTeX

A Framework for the Optimizing of WWW Advertising. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Trends in Distributed Systems for Electronic Commerce 1998, 1-10. Cited by 19Web SearchBibTeXDownload

1997

On Disk Caching of Web Objects in Proxy Servers. Charu C. Aggarwal, Philip S. Yu. CIKM 1997, 238-245. Cited by 25Web SearchBibTeXDownload

The S-Tree: An Efficient Index for Multidimensional Objects. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman. SSD 1997, 350-373. Cited by 19Web SearchBibTeXDownload

1996

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

A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. ICMCS 1996, 118-126. Cited by 265Web SearchBibTeX

On Optimal Piggyback Merging Policies for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. SIGMETRICS 1996, 200-209. Cited by 116Web SearchBibTeXDownload

1995

An Efficient Selection Algorithm on the Pyramid. Charu C. Aggarwal, N. Jain, P. Gupta. Inf. Process. Lett. (53): 37-47 (1995). Cited by 9Web SearchBibTeXDownload

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1.	^ WWW2010 – Raleigh: Committee - Retrieved 2011-03-19 - details Original context from http://www2010.org/www/committee/index.html ...rsity of Washington (USA) Ben Adida, Harvard University (USA) Deepak Agarwal, Yahoo! Research (USA) Charu Aggarwal , IBM Research (USA) Eugene Agichtein, Emory University (USA) Gail-Joon Ahn, Arizona State Universit...
2.	^ KDD 2009: Research Track Program Committee - Retrieved 2009-11-21 - details Original context from http://www.sigkdd.org/kdd2009/rpc.html ... Charu Aggarwal IBM T J Watson Research Center ...
3.	^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details Original context from http://www.kdd2008.com/rpc.html ...rack Program Committee Naoki Abe (IBM T.J. Watson Research Center) Deepak Agarwal (Yahoo! Research) Charu Aggarwal (IBM T.J. Watson Research Center) Eugene Agichtein (Emory University) Aijun An (York University) Ch...
4.	^ The ACM SIGMOD/PODS Conference: Vancouver, 2008 - SIGMOD Program Committee - Retrieved 2009-11-21 - details Original context from http://www.sigmod08.org/program_committee_sigmod.shtml ...itute of Technology) Program Committee Amr El Abbadi (UC Santa Barbara) Karl Aberer (EPFL Lausanne) Charu C. Aggarwal (IBM T. J. Watson Research Center) Divy Agrawal (Ask.com) Gustavo Alonso (ETH Zurich) Sihem Amer-Ya...
5.	^ CIKM2007 Website - Program Committee - Retrieved 2011-06-19 - details Original context from http://www.fc.ul.pt/cikm2007/Program-Committee.html ...search Center, Changqing Li, Duke University, USA Cartic Ramakrishnan, Wright State University, USA Charu Aggarwal , IBM T. J. Watson Research Center, USA David Cheung, University of Hong Kong, HK Dimitris Gunopulos...
6.	^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details Original context from http://www.sigkdd.org/kdd2007/organizers.html ... Charu Aggarwal (IBM T. J. Watson Research Center, USA) ...
7.	^ ACM SIGMOD/PODS 2007 Conference - Retrieved 2010-12-11 - details Original context from http://sigmod07.riit.tsinghua.edu.cn/program.shtml ... Charu Aggarwal IBM ...
8.	^ KDD 2006 Conference - Organizers - Retrieved 2011-03-19 - details Original context from http://www.kdd2006.com/organizers.html ... Charu Aggarwal Jessica Lin ...
9.	^ KDD 2005 - organizers: Aug 21-24, Chicago, IL. USA - Retrieved 2011-06-19 - details Original context from http://www.sigkdd.org/kdd2005/organizers.html ... Anderson, Brigham - Carnegie Mellon U Aggarwal, Charu - IBM T. J. Watson Research Center Anderson, Corin - Google Apte, Chid - IBM T.J. Watson Research C...
10.	^ WWW2005 Paper Track: Data Mining - Retrieved 2011-04-13 - details Original context from http://www.www2005.org/papers/mining.html ... Deputy Chair: Bing Liu (University of Illinois at Chicago) Mail: chair_min@www2005.org PC Members: Charu Aggarwal (IBM T. J. Watson Research Center) Ricardo Baeza-Yates (University of Chile) Krishna Bharat (Google...
11.	^ SIGMOD/PODS 2003 Conference - Retrieved 2011-03-19 - details Original context from http://db.ucsd.edu/SIGMODPODS03/PODSpapers.html ... Charu Aggarwal , Dakshi Agrawal ...