Pang-Ning Tan

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47EESamah Jamal Fodeh, William F. Punch, Pang-Ning Tan: Combining statistics and semantics via ensemble model for document clustering. SAC 2009: 1446-1450
46EEHaibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: Data mining for visual exploration and detection of ecosystem disturbances. GIS 2008: 60
45EEHaibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan: Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM 2008: 345-359
44EEHaibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. ICDM Workshops 2008: 349-358
43EEJerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian: A matrix alignment approach for link prediction. ICPR 2008: 1-4
42EEHaibin Cheng, Pang-Ning Tan: Semi-supervised learning with data calibration for long-term time series forecasting. KDD 2008: 133-141
41EEFeilong Chen, Jerry Scripps, Pang-Ning Tan: Link Mining for a Social Bookmarking Web Site. Web Intelligence 2008: 169-175
40EEH. D. K. Moonesinghe, Pang-Ning Tan: Outrank: a Graph-Based Outlier Detection Framework Using Random Walk. International Journal on Artificial Intelligence Tools 17(1): 19-36 (2008)
39EEHamed Valizadegan, Pang-Ning Tan: A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM 2007: 88-95
38EEHaibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch: Recommendation via Query Centered Random Walk on K-Partite Graph. ICDM 2007: 457-462
37EEJerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian: Exploration of Link Structure and Community-Based Node Roles in Network Analysis. ICDM 2007: 649-654
36EEH. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan: A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) 2007: 346-349
35EESamah Jamal Fodeh, Pang-Ning Tan: Incorporating Background Knowledge for Subjective Rule Evaluation. ICTAI (2) 2007: 148-155
34EEHamed Valizadegan, Pang-Ning Tan: Kernel Based Detection of Mislabeled Training Examples. SDM 2007
33EEHaibin Cheng, Pang-Ning Tan, Rong Jin: Localized Support Vector Machine and Its Efficient Algorithm. SDM 2007
32EEJing Gao, Pang-Ning Tan: Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. ICDM 2006: 212-221
31EEH. D. K. Moonesinghe, Samah Jamal Fodeh, Pang-Ning Tan: Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy. ICDM 2006: 426-435
30EEBrian D. Connelly, Christopher W. Bowron, Li Xiao, Pang-Ning Tan, Chen Wang: Adaptively Routing P2P Queries Using Association Analysis. ICPP 2006: 281-288
29EEH. D. K. Moonesinghe, Pang-Ning Tan: Outlier Detection Using Random Walks. ICTAI 2006: 532-539
28EEHaibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps: Multistep-Ahead Time Series Prediction. PAKDD 2006: 765-774
27EEJing Gao, Haibin Cheng, Pang-Ning Tan: Semi-supervised outlier detection. SAC 2006: 635-636
26EEJing Gao, Haibin Cheng, Pang-Ning Tan: A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. SDM 2006
25EEJerry Scripps, Pang-Ning Tan: Clustering in the Presence of Bridge-Nodes. SDM 2006
24EEJing Gao, Pang-Ning Tan, Haibin Cheng: Semi-Supervised Clustering with Partial Background Information. SDM 2006
23EEHui Xiong, Pang-Ning Tan, Vipin Kumar: Hyperclique pattern discovery. Data Min. Knowl. Discov. 13(2): 219-242 (2006)
22EEHui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar: TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. IEEE Trans. Knowl. Data Eng. 18(4): 493-508 (2006)
21EEBo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan: Local Detection of Selfish Routing Behavior in Ad Hoc Networks. Journal of Interconnection Networks 7(1): 133-146 (2006)
20 Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining Addison-Wesley 2005
19EEBo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan: Local Detection of Selfish Routing Behavior in Ad Hoc Networks. ISPAN 2005: 392-399
18EEJing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan: An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. PAKDD 2005: 420-425
17EEMichael Steinbach, Pang-Ning Tan, Vipin Kumar: Support envelopes: a technique for exploring the structure of association patterns. KDD 2004: 296-305
16EEHui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar: Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. KDD 2004: 334-343
15EEMichael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar: Generalizing the notion of support. KDD 2004: 689-694
14EEPang-Ning Tan, Rong Jin: Ordering patterns by combining opinions from multiple sources. KDD 2004: 695-700
13EEHui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar: HICAP: Hierarchical Clustering with Pattern Preservation. SDM 2004
12EEAysel Ozgur, Pang-Ning Tan, Vipin Kumar: RBA: An Integrated Framework for Regression based on Association Rules. SDM 2004
11EEPang-Ning Tan, Vipin Kumar, Jaideep Srivastava: Selecting the right objective measure for association analysis. Inf. Syst. 29(4): 293-313 (2004)
10EEHui Xiong, Pang-Ning Tan, Vipin Kumar: Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. ICDM 2003: 387-394
9EEMichael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter: Discovery of climate indices using clustering. KDD 2003: 446-455
8EEPang-Ning Tan, Vipin Kumar, Jaideep Srivastava: Selecting the right interestingness measure for association patterns. KDD 2002: 32-41
7EEVipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael Steinbach: High Performance Data Mining. VECPAR 2002: 111-125
6 Pang-Ning Tan, Vipin Kumar: Discovery of Web Robot Sessions Based on their Navigational Patterns. Data Min. Knowl. Discov. 6(1): 9-35 (2002)
5EEPang-Ning Tan, Vipin Kumar: Mining Indirect Associations in Web Data. WEBKDD 2001: 145-166
4EEPang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman: Textual data mining of service center call records. KDD 2000: 417-423
3EEPang-Ning Tan, Vipin Kumar, Jaideep Srivastava: Indirect Association: Mining Higher Order Dependencies in Data. PKDD 2000: 632-637
2EEJaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan: Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explorations 1(2): 12-23 (2000)
1EERobert Cooley, Pang-Ning Tan, Jaideep Srivastava: Discovery of Interesting Usage Patterns from Web Data. WEBKDD 1999: 163-182

Coauthor Index

1Hannah Blau [4]
2Christopher W. Bowron [30]
3Feilong Chen [41] [43]
4Haibin Cheng [24] [26] [27] [28] [33] [38] [42] [44] [45] [46]
5Brian D. Connelly [30]
6Robert Cooley [1] [2]
7Mukund Deshpande [2]
8Abdol-Hossein Esfahanian [37] [43]
9Samah Jamal Fodeh [31] [35] [36] [47]
10Jing Gao [18] [24] [26] [27] [28] [32]
11Robert P. Goldman [4]
12Eui-Hong Han [7]
13Steven A. Harp [4]
14Rong Jin [14] [33]
15Mahesh V. Joshi [7]
16Steven A. Klooster [9] [44] [46]
17Vipin Kumar [3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [15] [16] [17] [20] [22] [23]
18Jianzhong Li [18]
19Jianchang Mao [45]
20H. D. K. Moonesinghe [29] [31] [36] [40]
21Aysel Ozgur [12]
22Yefei Peng [45]
23Christopher Potter [9] [44] [46]
24William F. Punch (William F. Punch III) [38] [47]
25Jerry Scripps [25] [28] [37] [41] [43]
26Jonathan K. Shapiro [19] [21]
27Shashi Shekhar [16] [22]
28Sohraab Soltani [19] [21]
29Jaideep Srivastava [1] [2] [3] [8] [11]
30Michael Steinbach [7] [9] [13] [15] [17] [20]
31Jon Sticklen [38]
32Hamed Valizadegan [34] [36] [39]
33Bo Wang [19] [21]
34Chen Wang [30]
35Li Xiao [30]
36Hui Xiong [10] [13] [15] [16] [22] [23]
37Ruofei Zhang [45]
38Zhaogong Zhang [18]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)