Charu C. Aggarwal

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2012
1 A segment-based framework for modeling and mining data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (30): 1-29 (2012). Web SearchBibTeXDownload
2011
1 Evolutionary Clustering and Analysis of Bibliographic Networks. Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun. ASONAM 2011, 63-70. Web SearchBibTeXDownload
2 Towards semantic knowledge propagation from text corpus to web images. Guojun Qi, Charu C. Aggarwal, Thomas S. Huang. WWW 2011, 297-306. Web SearchBibTeXDownload
3 On dimensionality reduction of massive graphs for indexing and retrieval. Charu C. Aggarwal, Haixun Wang. ICDE 2011, 1091-1102. Web SearchBibTeXDownload
4 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
5 Outlier detection in graph streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. ICDE 2011, 399-409. Web SearchBibTeXDownload
6 Discovering highly reliable subgraphs in uncertain graphs. Ruoming Jin, Lin Liu, Charu C. Aggarwal. KDD 2011, 992-1000. Web SearchBibTeXDownload
7 On sensor selection in linked information networks. Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun. DCOSS 2011, 1-8. Web SearchBibTeXDownload
8 Towards Community Detection in Locally Heterogeneous Networks. Charu C. Aggarwal, Yan Xie, Philip S. Yu. SDM 2011, 391-402. Web SearchBibTeXDownload
9 On Flow Authority Discovery in Social Networks. Charu C. Aggarwal, Arijit Khan, Xifeng Yan. SDM 2011, 522-533. Web SearchBibTeXDownload
10 On Classification of Graph Streams. Charu C. Aggarwal. SDM 2011, 652-663. Web SearchBibTeXDownload
11 Data Mining (Privacy in). Charu C. Aggarwal. Encyclopedia of Cryptography and Security (2nd Ed.) 2011, 303-306. Web SearchBibTeXDownload
12 On Anonymization of Multi-graphs. Chun Li, Charu C. Aggarwal, Jianyong Wang. SDM 2011, 711-722. Web SearchBibTeXDownload
13 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
14 gSketch: On Query Estimation in Graph Streams. Peixiang Zhao, Charu C. Aggarwal, Min Wang. PVLDB (5): 193-204 (2011). Web SearchBibTeXDownload
15 On Node Classification in Dynamic Content-based Networks. Charu C. Aggarwal, Nan Li. SDM 2011, 355-366. Web SearchBibTeXDownload
16 On the Hardness of Graph Anonymization. Charu C. Aggarwal, Yao Li, Philip S. Yu. ICDM 2011, 1002-1007. Web SearchBibTeXDownload
17 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
18 Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. Manish Gupta, Charu C. Aggarwal, Jiawei Han. SSTD 2011, 130-148. Web SearchBibTeXDownload
19 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
20 On dynamic data-driven selection of sensor streams. Charu C. Aggarwal, Yan Xie, Philip S. Yu. KDD 2011, 1226-1234. Web SearchBibTeXDownload
2010
1 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
2 On Dense Pattern Mining in Graph Streams. Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin. PVLDB (3): 975-984 (2010). Web SearchBibTeXDownload
3 On wavelet decomposition of uncertain time series data sets. Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu. CIKM 2010, 129-138. Web SearchBibTeXDownload
4 On clustering massive text and categorical data streams. Charu C. Aggarwal, Philip S. Yu. Knowl. Inf. Syst. (24): 171-196 (2010). Web SearchBibTeXDownload
5 An Introduction to Graph Data. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 1-11. Web SearchBibTeXDownload
6 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
7 Graphical models for text: a new paradigm for text representation and processing. Charu C. Aggarwal, Peixiang Zhao. SIGIR 2010, 899-900. Web SearchBibTeXDownload
8 On Classification of High-Cardinality Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2010, 802-813. Web SearchBibTeXDownload
9 The Generalized Dimensionality Reduction Problem. Charu C. Aggarwal. SDM 2010, 607-618. Web SearchBibTeXDownload
10 On Multidimensional Sharpening of Uncertain Data. Charu C. Aggarwal. SDM 2010, 373-384. Web SearchBibTeXDownload
11 On Clustering Graph Streams. Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu. SDM 2010, 478-489. Web SearchBibTeXDownload
12 A Survey of Clustering Algorithms for Graph Data. Charu C. Aggarwal, Haixun Wang. Managing and Mining Graph Data 2010, 275-301. Web SearchBibTeXDownload
13 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
14 Graph Clustering. Charu C. Aggarwal. Encyclopedia of Machine Learning 2010, 459-467. Web SearchBibTeXDownload
15 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
16 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
17 The Inverse Classification Problem. Charu C. Aggarwal, Chen Chen, Jiawei Han. J. Comput. Sci. Technol. (25): 458-468 (2010). Web SearchBibTeXDownload
2009
1 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
2 Frequent pattern mining with uncertain data. Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. KDD 2009, 29-38. Cited by 3Web SearchBibTeXDownload
3 On classification and segmentation of massive audio data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (20): 137-156 (2009). Cited by 2Web SearchBibTeXDownload
4 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
5 Online Auctions: There Can Be Only One. Charu C. Aggarwal, Philip S. Yu. CEC 2009, 176-181. Web SearchBibTeXDownload
6 A Framework for Clustering Massive-Domain Data Streams. Charu C. Aggarwal. ICDE 2009, 102-113. Web SearchBibTeXDownload
7 On High Dimensional Projected Clustering of Uncertain Data Streams. Charu C. Aggarwal. ICDE 2009, 1152-1154. Web SearchBibTeXDownload
8 GConnect: A Connectivity Index for Massive Disk-resident Graphs. Charu C. Aggarwal, Yan Xie, Philip S. Yu. PVLDB (2): 862-873 (2009). Web SearchBibTeXDownload
9 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
10 Classification in Streams. Charu C. Aggarwal. Encyclopedia of Database Systems 2009, 340-341. Web SearchBibTeXDownload
11 On Segment-Based Stream Modeling and Its Applications. Charu C. Aggarwal. SDM 2009, 721-732. Web SearchBibTeXDownload
2008
1 A Framework for Clustering Uncertain Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 150-159. Cited by 15Web SearchBibTeXDownload
2 On Unifying Privacy and Uncertain Data Models. Charu C. Aggarwal. ICDE 2008, 386-395. Cited by 13Web SearchBibTeXDownload
3 Outlier Detection with Uncertain Data. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 483-493. Cited by 9Web SearchBibTeXDownload
4 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
5 On High Dimensional Indexing of Uncertain Data. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 1460-1461. Cited by 2Web SearchBibTeXDownload
6 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
7 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
8 On Indexing High Demensional Data with Uncertainty. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 621-631. Web SearchBibTeXDownload
9 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
10 Privacy-Preserving Data Mining: A Survey. Charu C. Aggarwal, Philip S. Yu. Handbook of Database Security 2008, 431-460. Web SearchBibTeXDownload
11 An Introduction to Privacy-Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. Privacy-Preserving Data Mining 2008, 1-9. Web SearchBibTeXDownload
12 Privacy and the Dimensionality Curse. Charu C. Aggarwal. Privacy-Preserving Data Mining 2008, 433-460. Web SearchBibTeXDownload
13 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
2007
1 On Density Based Transforms for Uncertain Data Mining. Charu C. Aggarwal. ICDE 2007, 866-875. Cited by 16Web SearchBibTeXDownload
2 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
3 On Privacy-Preservation of Text and Sparse Binary Data with Sketches. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 8Web SearchBibTeXDownload
4 On Anonymization of String Data. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 3Web SearchBibTeXDownload
5 Discriminating Subsequence Discovery for Sequence Clustering. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. SDM 2007. Cited by 3Web SearchBibTeXDownload
6 A framework for classification and segmentation of massive audio data streams. Charu C. Aggarwal. KDD 2007, 1013-1017. Cited by 2Web SearchBibTeXDownload
7 On string classification in data streams. Charu C. Aggarwal, Philip S. Yu. KDD 2007, 36-45. Web SearchBibTeXDownload
8 On Randomization, Public Information and the Curse of Dimensionality. Charu C. Aggarwal. ICDE 2007, 136-145. Web SearchBibTeXDownload
9 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
10 Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (19): 1001-1015 (2007). Web SearchBibTeXDownload
11 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
12 An Introduction to Data Streams. Charu C. Aggarwal. Data Streams - Models and Algorithms 2007, 1-8. Web SearchBibTeXDownload
13 A Survey of Synopsis Construction in Data Streams. Charu C. Aggarwal, Philip S. Yu. Data Streams - Models and Algorithms 2007, 169-207. Web SearchBibTeXDownload
14 A Survey of Change Diagnosis Algorithms in Evolving Data Streams. Charu C. Aggarwal. Data Streams - Models and Algorithms 2007, 85-102. Web SearchBibTeXDownload
15 On Point Sampling Versus Space Sampling for Dimensionality Reduction. Charu C. Aggarwal. SDM 2007. Web SearchBibTeXDownload
2006
1 On Biased Reservoir Sampling in the Presence of Stream Evolution. Charu C. Aggarwal. VLDB 2006, 607-618. Cited by 27Web SearchBibTeXDownload
2 A Framework for Clustering Massive Text and Categorical Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2006. Cited by 18Web SearchBibTeXDownload
3 On privacy preservation against adversarial data mining. Charu C. Aggarwal, Jian Pei, Bo Zhang. KDD 2006, 510-516. Cited by 16Web SearchBibTeXDownload
4 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
5 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
6 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
7 On Futuristic Query Processing in Data Streams. Charu C. Aggarwal. EDBT 2006, 41-58. Cited by 3Web SearchBibTeXDownload
8 On the Inverse Classification Problem and its Applications. Charu C. Aggarwal, Chen Chen, Jiawei Han. ICDE 2006, 111. Web SearchBibTeXDownload
9 On Temporal Evolution in Data Streams. Charu C. Aggarwal. PKDD 2006, 1. Web SearchBibTeXDownload
10 A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload
11 Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload
2005
1 On k-Anonymity and the Curse of Dimensionality. Charu C. Aggarwal. VLDB 2005, 901-909. Cited by 148Web SearchBibTeXDownload
2 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
3 On Change Diagnosis in Evolving Data Streams. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (17): 587-600 (2005). Cited by 27Web SearchBibTeXDownload
4 On Abnormality Detection in Spuriously Populated Data Streams. Charu C. Aggarwal. SDM 2005. Cited by 17Web SearchBibTeX
5 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
6 Online Analysis of Community Evolution in Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 14Web SearchBibTeX
7 On Variable Constraints in Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 9Web SearchBibTeX
8 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
9 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
10 Towards exploratory test instance specific algorithms for high dimensional classification. Charu C. Aggarwal. KDD 2005, 526-531. Cited by 5Web SearchBibTeXDownload
11 On Clustering Techniques for Change Diagnosis in Data Streams. Charu C. Aggarwal, Philip S. Yu. WEBKDD 2005, 139-157. Web SearchBibTeXDownload
2004
1 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
2 A Condensation Approach to Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. EDBT 2004, 183-199. Cited by 130Web SearchBibTeXDownload
3 On demand classification of data streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. KDD 2004, 503-508. Cited by 103Web SearchBibTeXDownload
4 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
5 A Human-Computer Interactive Method for Projected Clustering. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 448-460 (2004). Cited by 14Web SearchBibTeXDownload
6 On Leveraging User Access Patterns for Topic Specific Crawling. Charu C. Aggarwal. Data Min. Knowl. Discov. (9): 123-145 (2004). Cited by 9Web SearchBibTeXDownload
7 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
2003
1 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
2 XRules: an effective structural classifier for XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. KDD 2003, 316-325. Cited by 136Web SearchBibTeXDownload
3 Towards systematic design of distance functions for data mining applications. Charu C. Aggarwal. KDD 2003, 9-18. Cited by 38Web SearchBibTeXDownload
4 On nearest neighbor indexing of nonlinear trajectories. Charu C. Aggarwal, Dakshi Agrawal. PODS 2003, 252-259. Cited by 28Web SearchBibTeXDownload
5 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
6 A Framework for Change Diagnosis of Data Streams. Charu C. Aggarwal. SIGMOD Conference 2003, 575-586. Web SearchBibTeXDownload
2002
1 An Intuitive Framework for Understanding Changes in Evolving Data Streams. Charu C. Aggarwal. ICDE 2002, 261. Cited by 115Web SearchBibTeXDownload
2 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
3 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
4 Towards Effective and Interpretable Data Mining by Visual Interaction. Charu C. Aggarwal. SIGKDD Explorations (3): 11-22 (2002). Cited by 32Web SearchBibTeXDownload
5 On multiroute maximum flows in networks. Charu C. Aggarwal, James B. Orlin. Networks (39): 43-52 (2002). Cited by 27Web SearchBibTeXDownload
6 Collaborative crawling: mining user experiences for topical resource discovery. Charu C. Aggarwal. KDD 2002, 423-428. Cited by 17Web SearchBibTeXDownload
7 Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. Charu C. Aggarwal. ICDE 2002, 593-604. Cited by 15Web SearchBibTeXDownload
8 On effective classification of strings with wavelets. Charu C. Aggarwal. KDD 2002, 163-172. Cited by 13Web SearchBibTeXDownload
9 An Automated System for Web Portal Personalization. Charu C. Aggarwal, Philip S. Yu. VLDB 2002, 1031-1040. Cited by 12Web SearchBibTeXDownload
10 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
11 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
12 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
2001
1 On the Design and Quantification of Privacy Preserving Data Mining Algorithms. Dakshi Agrawal, Charu C. Aggarwal. PODS 2001. Cited by 480Web SearchBibTeXDownload
2 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
3 Outlier Detection for High Dimensional Data. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2001, 37-46. Cited by 318Web SearchBibTeXDownload
4 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
5 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
6 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
7 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
8 On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. Charu C. Aggarwal. PODS 2001. Cited by 68Web SearchBibTeXDownload
9 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
10 A human-computer cooperative system for effective high dimensional clustering. Charu C. Aggarwal. KDD 2001, 221-226. Cited by 31Web SearchBibTeXDownload
11 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
12 Mining massively incomplete data sets by conceptual reconstruction. Charu C. Aggarwal, Srinivasan Parthasarathy. KDD 2001, 227-232. Cited by 24Web SearchBibTeXDownload
13 Towards Long Pattern Generation in Dense Databases. Charu C. Aggarwal. SIGKDD Explorations (3): 20-26 (2001). Cited by 20Web SearchBibTeXDownload
14 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
15 On Effective Conceptual Indexing and Similarity Search in Text Data. Charu C. Aggarwal, Philip S. Yu. ICDM 2001, 3-10. Cited by 19Web SearchBibTeXDownload
16 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
2000
1 Finding Generalized Projected Clusters In High Dimensional Spaces. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2000, 70-81. Cited by 353Web SearchBibTeX
2 Depth first generation of long patterns. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. KDD 2000, 108-118. Cited by 254Web SearchBibTeXDownload
3 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
4 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
5 Data Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (23): 4-9 (2000). Cited by 30Web SearchBibTeXDownload
6 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
7 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
1999
1 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
2 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
3 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
4 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
5 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
6 Data Mining Techniques for Associations, Clustering and Classification. Charu C. Aggarwal, Philip S. Yu. PAKDD 1999, 13-23. Cited by 22Web SearchBibTeXDownload
7 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
8 On Text Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. RSFDGrC 1999, 12-18. Cited by 13Web SearchBibTeXDownload
9 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
10 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
1998
1 Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. ICDE 1998, 402-411. Cited by 134Web SearchBibTeXDownload
2 A New Framework For Itemset Generation. Charu C. Aggarwal, Philip S. Yu. PODS 1998, 18-24. Cited by 111Web SearchBibTeX
3 Mining Large Itemsets for Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (21): 23-31 (1998). Cited by 56Web SearchBibTeX
4 Online Algorithms for Finding Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. CIKM 1998, 86-95. Cited by 30Web SearchBibTeX
5 Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. KDD 1998, 129-133. Cited by 27Web SearchBibTeX
6 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
7 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
1997
1 On Disk Caching of Web Objects in Proxy Servers. Charu C. Aggarwal, Philip S. Yu. CIKM 1997, 238-245. Cited by 25Web SearchBibTeXDownload
2 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
1 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 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 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
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References
1. ^ WWW2010 – Raleigh: Committee - Retrieved 2011-03-19 - details
2. ^ KDD 2009: Research Track Program Committee - Retrieved 2009-11-21 - details
3. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
4. ^ The ACM SIGMOD/PODS Conference: Vancouver, 2008 - SIGMOD Program Committee - Retrieved 2009-11-21 - details
5. ^ CIKM2007 Website - Program Committee - Retrieved 2011-06-19 - details
6. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
7. ^ ACM SIGMOD/PODS 2007 Conference - Retrieved 2010-12-11 - details
8. ^ KDD 2006 Conference - Organizers - Retrieved 2011-03-19 - details
9. ^ KDD 2005 - organizers: Aug 21-24, Chicago, IL. USA - Retrieved 2011-06-19 - details
10. ^ WWW2005 Paper Track: Data Mining - Retrieved 2011-04-13 - details
11. ^ SIGMOD/PODS 2003 Conference - Retrieved 2011-03-19 - details
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