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Charu C. Aggarwal
2010 – today
- 2014
[e8]Charu C. Aggarwal, Chandan K. Reddy (Eds.): Data Clustering: Algorithms and Applications. CRC Press 2014, ISBN 978-1-46-655821-2- 2013
- [b2]
- [j58]Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal: On Credibility Estimation Tradeoffs in Assured Social Sensing. IEEE Journal on Selected Areas in Communications 31(6): 1026-1037 (2013)
- [j57]Charu C. Aggarwal, Peixiang Zhao: Towards graphical models for text processing. Knowl. Inf. Syst. 36(1): 1-21 (2013)
- [j56]Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan: NeMa: Fast Graph Search with Label Similarity. PVLDB 6(3): 181-192 (2013)
- [j55]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok N. Srivastava, Nikunj C. Oza: Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 25(7): 1484-1497 (2013)
- [j54]Charu C. Aggarwal: On the Analytical Properties of High-Dimensional Randomization. IEEE Trans. Knowl. Data Eng. 25(7): 1628-1642 (2013)
- [c127]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang: Link prediction across networks by biased cross-network sampling. ICDE 2013: 793-804
- [c126]Quanquan Gu, Charu C. Aggarwal, Jialu Liu, Jiawei Han: Selective sampling on graphs for classification. KDD 2013: 131-139
- [c125]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu: Community Detection with Prior Knowledge. SDM 2013: 405-413
- [c124]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang: Online community detection in social sensing. WSDM 2013: 617-626
- [c123]Guo-Jun Qi, Charu C. Aggarwal, Jiawei Han, Thomas S. Huang: Mining collective intelligence in diverse groups. WWW 2013: 1041-1052
- [p31]Charu C. Aggarwal: An Introduction to Cluster Analysis. Data Clustering: Algorithms and Applications 2013: 1-28
- [p30]Charu C. Aggarwal: A Survey of Stream Clustering Algorithms. Data Clustering: Algorithms and Applications 2013: 231-258
- [p29]Dimitrios Kotsakos, Goce Trajcevski, Dimitrios Gunopulos, Charu C. Aggarwal: Time-Series Data Clustering. Data Clustering: Algorithms and Applications 2013: 357-380
- [p28]Charu C. Aggarwal: A Survey of Uncertain Data Clustering Algorithms. Data Clustering: Algorithms and Applications 2013: 457-482
- [p27]Charu C. Aggarwal, Chandan K. Reddy: Educational and Software Resources for Data Clustering. Data Clustering: Algorithms and Applications 2013: 607-616
- [p26]Charu C. Aggarwal: An Introduction to Sensor Data Analytics. Managing and Mining Sensor Data 2013: 1-8
- [p25]
- [p24]Charu C. Aggarwal, Tarek F. Abdelzaher: Social Sensing. Managing and Mining Sensor Data 2013: 237-297
- [p23]Charu C. Aggarwal, Jiawei Han: A Survey of RFID Data Processing. Managing and Mining Sensor Data 2013: 349-382
- [p22]Charu C. Aggarwal, Naveen Ashish, Amit P. Sheth: The Internet of Things: A Survey from the Data-Centric Perspective. Managing and Mining Sensor Data 2013: 383-428
- [e7]
- 2012
- [j53]Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal: Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. 25(3): 415-419 (2012)
- [j52]Charu C. Aggarwal, Philip S. Yu: On the network effect in Web 2.0 applications. Electronic Commerce Research and Applications 11(2): 142-151 (2012)
- [j51]Charu C. Aggarwal: A segment-based framework for modeling and mining data streams. Knowl. Inf. Syst. 30(1): 1-29 (2012)
- [j50]Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, Thomas S. Huang: Exploring Context and Content Links in Social Media: A Latent Space Method. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 850-862 (2012)
- [j49]Yizhou Sun, Charu C. Aggarwal, Jiawei Han: Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. PVLDB 5(5): 394-405 (2012)
- [j48]Charu C. Aggarwal, Nan Li: On supervised mining of dynamic content-based networks. Statistical Analysis and Data Mining 5(1): 16-34 (2012)
- [j47]
- [j46]Charu C. Aggarwal: On the equivalence of PLSI and projected clustering. SIGMOD Record 41(4): 45-50 (2012)
- [c122]Charu C. Aggarwal, Wangqun Lin, Philip S. Yu: Searching by corpus with fingerprints. EDBT 2012: 348-359
- [c121]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang: Community Detection with Edge Content in Social Media Networks. ICDE 2012: 534-545
- [c120]Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu: On Text Clustering with Side Information. ICDE 2012: 894-904
- [c119]Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani M. Thuraisingham: Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. ICDM 2012: 31-40
- [c118]Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen: Reliable Clustering on Uncertain Graphs. ICDM 2012: 459-468
- [c117]
- [c116]Charu C. Aggarwal, Yan Xie, Philip S. Yu: On Dynamic Link Inference in Heterogeneous Networks. SDM 2012: 415-426
- [c115]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang: Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces. SDM 2012: 528-539
- [c114]
- [c113]Charu C. Aggarwal, Shuyang Lin, Philip S. Yu: On Influential Node Discovery in Dynamic Social Networks. SDM 2012: 636-647
- [c112]Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal: On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing. SECON 2012: 506-514
- [c111]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang: On clustering heterogeneous social media objects with outlier links. WSDM 2012: 553-562
- [c110]Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla: When will it happen?: relationship prediction in heterogeneous information networks. WSDM 2012: 663-672
- [p21]
- [p20]Charu C. Aggarwal, ChengXiang Zhai: A Survey of Text Clustering Algorithms. Mining Text Data 2012: 77-128
- [p19]Charu C. Aggarwal, ChengXiang Zhai: A Survey of Text Classification Algorithms. Mining Text Data 2012: 163-222
- [p18]
- [e6]
- [i4]Yizhou Sun, Charu C. Aggarwal, Jiawei Han: Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. CoRR abs/1201.6563 (2012)
- [i3]Guo-Jun Qi, Charu C. Aggarwal, Pierre Moulin, Thomas S. Huang: Learning from Collective Intelligence in Groups. CoRR abs/1210.0954 (2012)
- [i2]Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy: Hash in a Flash: Hash Tables for Solid State Devices. CoRR abs/1211.4521 (2012)
- 2011
- [j45]Peixiang Zhao, Charu C. Aggarwal, Min Wang: gSketch: On Query Estimation in Graph Streams. PVLDB 5(3): 193-204 (2011)
- [c109]Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun: Evolutionary Clustering and Analysis of Bibliographic Networks. ASONAM 2011: 63-70
- [c108]Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han: Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM 2011: 121-128
- [c107]Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang: Towards cross-category knowledge propagation for learning visual concepts. CVPR 2011: 897-904
- [c106]Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun: On sensor selection in linked information networks. DCOSS 2011: 1-8
- [c105]Dong Wang, Hossein Ahmadi, Tarek F. Abdelzaher, Harshavardhan Chenji, Radu Stoleru, Charu C. Aggarwal: Optimizing quality-of-information in cost-sensitive sensor data fusion. DCOSS 2011: 1-8
- [c104]Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal: On Bayesian interpretation of fact-finding in information networks. FUSION 2011: 1-8
- [c103]Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu: Outlier detection in graph streams. ICDE 2011: 399-409
- [c102]Charu C. Aggarwal, Haixun Wang: On dimensionality reduction of massive graphs for indexing and retrieval. ICDE 2011: 1091-1102
- [c101]Charu C. Aggarwal, Yao Li, Philip S. Yu: On the Hardness of Graph Anonymization. ICDM 2011: 1002-1007
- [c100]Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham: Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM 2011: 1176-1181
- [c99]Ruoming Jin, Lin Liu, Charu C. Aggarwal: Discovering highly reliable subgraphs in uncertain graphs. KDD 2011: 992-1000
- [c98]Charu C. Aggarwal, Yan Xie, Philip S. Yu: On dynamic data-driven selection of sensor streams. KDD 2011: 1226-1234
- [c97]
- [c96]Charu C. Aggarwal, Yan Xie, Philip S. Yu: Towards Community Detection in Locally Heterogeneous Networks. SDM 2011: 391-402
- [c95]Charu C. Aggarwal, Arijit Khan, Xifeng Yan: On Flow Authority Discovery in Social Networks. SDM 2011: 522-533
- [c94]
- [c93]
- [c92]Manish Gupta, Charu C. Aggarwal, Jiawei Han: Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. SSTD 2011: 130-148
- [c91]Guojun Qi, Charu C. Aggarwal, Thomas S. Huang: Towards semantic knowledge propagation from text corpus to web images. WWW 2011: 297-306
- [p17]Charu C. Aggarwal: An Introduction to Social Network Data Analytics. Social Network Data Analytics 2011: 1-15
- [p16]Charu C. Aggarwal, Haixun Wang: Text Mining in Social Networks. Social Network Data Analytics 2011: 353-378
- [p15]Charu C. Aggarwal, Tarek F. Abdelzaher: Integrating Sensors and Social Networks. Social Network Data Analytics 2011: 379-412
- [e5]
- [r3]Charu C. Aggarwal: Data Mining (Privacy in). Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 303-306
- [i1]Peixiang Zhao, Charu C. Aggarwal, Min Wang: gSketch: On Query Estimation in Graph Streams. CoRR abs/1111.7167 (2011)
- 2010
- [j44]Charu C. Aggarwal, Chen Chen, Jiawei Han: The Inverse Classification Problem. J. Comput. Sci. Technol. 25(3): 458-468 (2010)
- [j43]Charu C. Aggarwal, Philip S. Yu: On clustering massive text and categorical data streams. Knowl. Inf. Syst. 24(2): 171-196 (2010)
- [j42]Charu C. Aggarwal, Yao Li, Philip S. Yu, Ruoming Jin: On Dense Pattern Mining in Graph Streams. PVLDB 3(1): 975-984 (2010)
- [j41]Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu: A framework for clustering massive graph streams. Statistical Analysis and Data Mining 3(6): 399-416 (2010)
- [c90]Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu: On wavelet decomposition of uncertain time series data sets. CIKM 2010: 129-138
- [c89]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham: Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM 2010: 929-934
- [c88]
- [c87]
- [c86]
- [c85]Charu C. Aggarwal, Philip S. Yu: On Classification of High-Cardinality Data Streams. SDM 2010: 802-813
- [c84]Charu C. Aggarwal, Peixiang Zhao: Graphical models for text: a new paradigm for text representation and processing. SIGIR 2010: 899-900
- [p14]Charu C. Aggarwal, Haixun Wang: An Introduction to Graph Data. Managing and Mining Graph Data 2010: 1-11
- [p13]Charu C. Aggarwal, Haixun Wang: Graph Data Management and Mining: A Survey of Algorithms and Applications. Managing and Mining Graph Data 2010: 13-68
- [p12]Haixun Wang, Charu C. Aggarwal: A Survey of Algorithms for Keyword Search on Graph Data. Managing and Mining Graph Data 2010: 249-273
- [p11]Charu C. Aggarwal, Haixun Wang: A Survey of Clustering Algorithms for Graph Data. Managing and Mining Graph Data 2010: 275-301
- [p10]Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal: A Survey of Algorithms for Dense Subgraph Discovery. Managing and Mining Graph Data 2010: 303-336
- [e4]Charu C. Aggarwal, Haixun Wang (Eds.): Managing and Mining Graph Data. Advances in Database Systems 40, Springer 2010, ISBN 978-1-4419-6044-3
- [r2]
2000 – 2009
- 2009
- [b1]Charu C. Aggarwal: Managing and Mining Uncertain Data. Advances in Database Systems 35, Kluwer 2009, ISBN 978-0-387-09689-6, pp. 1-41
- [j40]Jianyong 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)
- [j39]Charu C. Aggarwal: On classification and segmentation of massive audio data streams. Knowl. Inf. Syst. 20(2): 137-156 (2009)
- [j38]Charu C. Aggarwal, Yan Xie, Philip S. Yu: GConnect: A Connectivity Index for Massive Disk-resident Graphs. PVLDB 2(1): 862-873 (2009)
- [j37]Charu C. Aggarwal, Philip S. Yu: A Survey of Uncertain Data Algorithms and Applications. IEEE Trans. Knowl. Data Eng. 21(5): 609-623 (2009)
- [c83]
- [c82]Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu: On Efficient Query Processing of Stream Counts on the Cell Processor. ICDE 2009: 748-759
- [c81]Charu C. Aggarwal: On High Dimensional Projected Clustering of Uncertain Data Streams. ICDE 2009: 1152-1154
- [c80]Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang: Frequent pattern mining with uncertain data. KDD 2009: 29-38
- [c79]
- [c78]
- [r1]
- 2008
- [j36]Charu C. Aggarwal, Philip S. Yu: A framework for condensation-based anonymization of string data. Data Min. Knowl. Discov. 16(3): 251-275 (2008)
- [j35]Charu C. Aggarwal, Philip S. Yu: On static and dynamic methods for condensation-based privacy-preserving data mining. ACM Trans. Database Syst. 33(1) (2008)
- [c77]Charu C. Aggarwal, Philip S. Yu: A Framework for Clustering Uncertain Data Streams. ICDE 2008: 150-159
- [c76]
- [c75]Charu C. Aggarwal, Philip S. Yu: LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. ICDE 2008: 426-435
- [c74]Charu C. Aggarwal, Philip S. Yu: On High Dimensional Indexing of Uncertain Data. ICDE 2008: 1460-1461
- [c73]
- [c72]Charu C. Aggarwal, Philip S. Yu: On Indexing High Demensional Data with Uncertainty. SDM 2008: 621-631
- [p9]Charu C. Aggarwal, Philip S. Yu: Privacy-Preserving Data Mining: A Survey. Handbook of Database Security 2008: 431-460
- [p8]Charu C. Aggarwal, Philip S. Yu: An Introduction to Privacy-Preserving Data Mining. Privacy-Preserving Data Mining 2008: 1-9
- [p7]Charu C. Aggarwal, Philip S. Yu: A General Survey of Privacy-Preserving Data Mining Models and Algorithms. Privacy-Preserving Data Mining 2008: 11-52
- [p6]Charu C. Aggarwal, Philip S. Yu: A Survey of Randomization Methods for Privacy-Preserving Data Mining. Privacy-Preserving Data Mining 2008: 137-156
- [p5]Charu C. Aggarwal: Privacy and the Dimensionality Curse. Privacy-Preserving Data Mining 2008: 433-460
- [e3]Charu C. Aggarwal, Philip S. Yu (Eds.): Privacy-Preserving Data Mining - Models and Algorithms. Advances in Database Systems 34, Springer 2008, ISBN 978-0-387-70991-8
- 2007
- [j34]Charu C. Aggarwal: Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. IEEE Trans. Knowl. Data Eng. 19(8): 1001-1015 (2007)
- [c71]Charu C. Aggarwal: On Randomization, Public Information and the Curse of Dimensionality. ICDE 2007: 136-145
- [c70]
- [c69]
- [c68]Charu 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
- [c67]Charu C. Aggarwal: A framework for classification and segmentation of massive audio data streams. KDD 2007: 1013-1017
- [c66]
- [c65]Charu C. Aggarwal, Philip S. Yu: On Privacy-Preservation of Text and Sparse Binary Data with Sketches. SDM 2007
- [c64]
- [c63]Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal: Discriminating Subsequence Discovery for Sequence Clustering. SDM 2007
- [c62]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: Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB 2007: 1185-1196
- [p4]
- [p3]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On Clustering Massive Data Streams: A Summarization Paradigm. Data Streams - Models and Algorithms 2007: 9-38
- [p2]Charu C. Aggarwal: A Survey of Change Diagnosis Algorithms in Evolving Data Streams. Data Streams - Models and Algorithms 2007: 85-102
- [p1]Charu C. Aggarwal, Philip S. Yu: A Survey of Synopsis Construction in Data Streams. Data Streams - Models and Algorithms 2007: 169-207
- [e2]Charu C. Aggarwal (Ed.): Data Streams - Models and Algorithms. Advances in Database Systems 31, Springer 2007, ISBN 978-0-387-28759-1
- 2006
- [j33]Charu C. Aggarwal: On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. Data Min. Knowl. Discov. 13(1): 89-117 (2006)
- [j32]Mohammed Javeed Zaki, Charu C. Aggarwal: XRules: An effective algorithm for structural classification of XML data. Machine Learning 62(1-2): 137-170 (2006)
- [j31]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 18(5): 577-589 (2006)
- [c61]
- [c60]Charu C. Aggarwal, Chen Chen, Jiawei Han: On the Inverse Classification Problem and its Applications. ICDE 2006: 111
- [c59]
- [c58]
- [c57]Charu C. Aggarwal: Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. SDM 2006
- [c56]Charu C. Aggarwal: A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. SDM 2006
- [c55]Charu C. Aggarwal, Philip S. Yu: A Framework for Clustering Massive Text and Categorical Data Streams. SDM 2006
- [c54]Charu C. Aggarwal: On Biased Reservoir Sampling in the Presence of Stream Evolution. VLDB 2006: 607-618
- 2005
- [j30]Charu C. Aggarwal, Paul S. Bradley: On the Use of Wavelet Decomposition for String Classification. Data Min. Knowl. Discov. 10(2): 117-139 (2005)
- [j29]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On High Dimensional Projected Clustering of Data Streams. Data Min. Knowl. Discov. 10(3): 251-273 (2005)
- [j28]Charu C. Aggarwal: On Change Diagnosis in Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 17(5): 587-600 (2005)
- [j27]Charu C. Aggarwal, Philip S. Yu: An effective and efficient algorithm for high-dimensional outlier detection. VLDB J. 14(2): 211-221 (2005)
- [c53]Charu 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
- [c52]Charu C. Aggarwal, Philip S. Yu: On Clustering Techniques for Change Diagnosis in Data Streams. WEBKDD 2005: 139-157
- [c51]Charu C. Aggarwal: Towards exploratory test instance specific algorithms for high dimensional classification. KDD 2005: 526-531
- [c50]
- [c49]
- [c48]Charu C. Aggarwal, Philip S. Yu: On Variable Constraints in Privacy Preserving Data Mining. SDM 2005
- [c47]
- 2004
- [j26]Charu C. Aggarwal: On Leveraging User Access Patterns for Topic Specific Crawling. Data Min. Knowl. Discov. 9(2): 123-145 (2004)
- [j25]Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu: On Using Partial Supervision for Text Categorization. IEEE Trans. Knowl. Data Eng. 16(2): 245-255 (2004)
- [j24]Charu C. Aggarwal: A Human-Computer Interactive Method for Projected Clustering. IEEE Trans. Knowl. Data Eng. 16(4): 448-460 (2004)
- [j23]Charu C. Aggarwal: An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search. IEEE Trans. Knowl. Data Eng. 16(10): 1247-1262 (2004)
- [c46]Charu C. Aggarwal, Philip S. Yu: A Condensation Approach to Privacy Preserving Data Mining. EDBT 2004: 183-199
- [c45]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: On demand classification of data streams. KDD 2004: 503-508
- [c44]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Projected Clustering of High Dimensional Data Streams. VLDB 2004: 852-863
- 2003
- [j22]Srinivasan Parthasarathy, Charu C. Aggarwal: On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. IEEE Trans. Knowl. Data Eng. 15(6): 1512-1521 (2003)
- [c43]Chung-Sheng Li, Charu C. Aggarwal, Murray Campbell, Yuan-Chi Chang, Gregory Glass, Vijay S. Iyengar, Mahesh Joshi, Ching-Yung Lin, Milind R. Naphade, John R. Smith, Belle L. Tseng, Min Wang, Kun-Lung Wu, Philip S. Yu: Epi-SPIRE: a system for environmental and public health activity monitoring. ICME 2003: 713-716
- [c42]Charu C. Aggarwal: Towards systematic design of distance functions for data mining applications. KDD 2003: 9-18
- [c41]Mohammed Javeed Zaki, Charu C. Aggarwal: XRules: an effective structural classifier for XML data. KDD 2003: 316-325
- [c40]Charu C. Aggarwal, Dakshi Agrawal: On nearest neighbor indexing of nonlinear trajectories. PODS 2003: 252-259
- [c39]Charu C. Aggarwal: A Framework for Change Diagnosis of Data Streams. SIGMOD Conference 2003: 575-586
- [c38]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: A Framework for Clustering Evolving Data Streams. VLDB 2003: 81-92
- [e1]Mohammed Javeed Zaki, Charu C. Aggarwal (Eds.): 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
- 2002
- [j21]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)
- [j20]Charu C. Aggarwal, James B. Orlin: On multiroute maximum flows in networks. Networks 39(1): 43-52 (2002)
- [j19]Charu C. Aggarwal: Towards Effective and Interpretable Data Mining by Visual Interaction. SIGKDD Explorations 3(2): 11-22 (2002)
- [j18]Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Philip S. Yu: Finding Localized Associations in Market Basket Data. IEEE Trans. Knowl. Data Eng. 14(1): 51-62 (2002)
- [j17]Charu C. Aggarwal, Philip S. Yu: Redefining Clustering for High-Dimensional Applications. IEEE Trans. Knowl. Data Eng. 14(2): 210-225 (2002)
- [j16]Charu C. Aggarwal, Zheng Sun, Philip S. Yu: Fast Algorithms for Online Generation of Profile Association Rules. IEEE Trans. Knowl. Data Eng. 14(5): 1017-1028 (2002)
- [c37]Charu C. Aggarwal: An Intuitive Framework for Understanding Changes in Evolving Data Streams. ICDE 2002: 261
- [c36]Charu C. Aggarwal: Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. ICDE 2002: 593-604
- [c35]
- [c34]Charu C. Aggarwal: Collaborative crawling: mining user experiences for topical resource discovery. KDD 2002: 423-428
- [c33]Charu C. Aggarwal: Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. SIGMOD Conference 2002: 452-463
- [c32]Charu C. Aggarwal, Philip S. Yu: An Automated System for Web Portal Personalization. VLDB 2002: 1031-1040
- 2001
- [j15]Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad: A Tree Projection Algorithm for Generation of Frequent Item Sets. J. Parallel Distrib. Comput. 61(3): 350-371 (2001)
- [j14]Charu C. Aggarwal: Towards Long Pattern Generation in Dense Databases. SIGKDD Explorations 3(1): 20-26 (2001)
- [j13]Charu C. Aggarwal: Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. SIGMOD Record 30(1): 13-18 (2001)
- [j12]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. IEEE Trans. Computers 50(2): 97-110 (2001)
- [j11]Charu C. Aggarwal, Philip S. Yu: A New Approach to Online Generation of Association Rules. IEEE Trans. Knowl. Data Eng. 13(4): 527-540 (2001)
- [j10]Charu C. Aggarwal, Philip S. Yu: Mining Associations with the Collective Strength Approach. IEEE Trans. Knowl. Data Eng. 13(6): 863-873 (2001)
- [j9]Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu: On the design of a learning crawler for topical resource discovery. ACM Trans. Inf. Syst. 19(3): 286-309 (2001)
- [c31]Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu: Effective Nearest Neighbor Indexing with the Euclidean Metric. CIKM 2001: 9-16
- [c30]Charu C. Aggarwal, Philip S. Yu: On Effective Conceptual Indexing and Similarity Search in Text Data. ICDM 2001: 3-10
- [c29]Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434
- [c28]Charu C. Aggarwal: A human-computer cooperative system for effective high dimensional clustering. KDD 2001: 221-226
- [c27]Charu C. Aggarwal, Srinivasan Parthasarathy: Mining massively incomplete data sets by conceptual reconstruction. KDD 2001: 227-232
- [c26]Charu C. Aggarwal: On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. PODS 2001
- [c25]Dakshi Agrawal, Charu C. Aggarwal: On the Design and Quantification of Privacy Preserving Data Mining Algorithms. PODS 2001
- [c24]Charu C. Aggarwal, Philip S. Yu: Outlier Detection for High Dimensional Data. SIGMOD Conference 2001: 37-46
- [c23]Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu: Intelligent crawling on the World Wide Web with arbitrary predicates. WWW 2001: 96-105
- 2000
- [j8]Charu C. Aggarwal, Philip S. Yu: Data Mining Techniques for Personalization. IEEE Data Eng. Bull. 23(1): 4-9 (2000)
- [j7]Kenneth A. Ross, Charu C. Aggarwal, Alfons Kemper, Sunita Sarawagi, S. Sudarshan, Mihalis Yannakakis: Reminiscences on Influential Papers. SIGMOD Record 29(3): 52-54 (2000)
- [c22]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
- [c21]Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad: Depth first generation of long patterns. KDD 2000: 108-118
- [c20]Charu C. Aggarwal, Philip S. Yu: The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. KDD 2000: 119-129
- [c19]Charu C. Aggarwal, Philip S. Yu: Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference 2000: 70-81
- [c18]Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515
1990 – 1999
- 1999
- [j6]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman: Using Unbalanced Trees for Indexing Multidimensional Objects. Knowl. Inf. Syst. 1(3): 157-192 (1999)
- [j5]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: Design and Analysis of Permutation-Based Pyramid Broadcasting. Multimedia Syst. 7(6): 439-448 (1999)
- [j4]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: Caching on the World Wide Web. IEEE Trans. Knowl. Data Eng. 11(1): 95-107 (1999)
- [c17]Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu: Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. KDD 1999: 201-212
- [c16]Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu: On the Merits of Building Categorization Systems by Supervised Clustering. KDD 1999: 352-356
- [c15]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
- [c14]Charu C. Aggarwal, Philip S. Yu: Data Mining Techniques for Associations, Clustering and Classification. PAKDD 1999: 13-23
- [c13]
- [c12]Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park: Fast Algorithms for Projected Clustering. SIGMOD Conference 1999: 61-72
- [c11]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: A New Method for Similarity Indexing of Market Basket Data. SIGMOD Conference 1999: 407-418
- 1998
- [j3]Charu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21(1): 23-31 (1998)
- [j2]Charu C. Aggarwal, Ravindra K. Ahuja, Jianxiu Hao, James B. Orlin: Diagnosing infeasibilities in network flow problems. Math. Program. 81: 263-280 (1998)
- [c10]Charu C. Aggarwal, Zheng Sun, Philip S. Yu: Online Algorithms for Finding Profile Association Rules. CIKM 1998: 86-95
- [c9]
- [c8]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: A Framework for the Optimizing of WWW Advertising. Trends in Distributed Systems for Electronic Commerce 1998: 1-10
- [c7]Charu C. Aggarwal, Zheng Sun, Philip S. Yu: Online Generation of Profile Association Rules. KDD 1998: 129-133
- [c6]
- 1997
- [c5]Charu C. Aggarwal, Philip S. Yu: On Disk Caching of Web Objects in Proxy Servers. CIKM 1997: 238-245
- [c4]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman: The S-Tree: An Efficient Index for Multidimensional Objects. SSD 1997: 350-373
- 1996
- [c3]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. ICMCS 1996: 118-126
- [c2]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: On Optimal Batching Policies for Video-on-Demand Storage Servers. ICMCS 1996: 253-258
- [c1]Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu: On Optimal Piggyback Merging Policies for Video-on-Demand Systems. SIGMETRICS 1996: 200-209
- 1995
- [j1]Charu C. Aggarwal, N. Jain, P. Gupta: An Efficient Selection Algorithm on the Pyramid. Inf. Process. Lett. 53(1): 37-47 (1995)
Coauthor Index
[c125] [j53] [j52] [c122] [c120] [c116] [c113] [c103] [c101] [c98] [c96] [j43] [j42] [j41] [c90] [c87] [c85] [j38] [j37] [c82] [c78] [j36] [j35] [c77] [c75] [c74] [c73] [c72] [p9] [p8] [p7] [p6] [e3] [c69] [c65] [c64] [c62] [p3] [p1] [j31] [c55] [j29] [j27] [c53] [c52] [c49] [c48] [j25] [c46] [c45] [c44] [c43] [c38] [j21] [j18] [j17] [j16] [c32] [j12] [j11] [j10] [j9] [c31] [c30] [c24] [c23] [j8] [c22] [c20] [c19] [j6] [j5] [j4] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j3] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2013-10-16 21:28 CEST by the dblp team