| 2009 | ||
|---|---|---|
| 52 | Feilong Chen, Pang-Ning Tan, Anil K. Jain: A co-classification framework for detecting web spam and spammers in social media web sites. CIKM 2009: 1807-1810 | |
| 51 | Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian: Measuring the effects of preprocessing decisions and network forces in dynamic network analysis. KDD 2009: 747-756 | |
| 50 | Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan: Combining statistics and semantics via ensemble model for document clustering. SAC 2009: 1446-1450 | |
| 49 | Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: Detection and Characterization of Anomalies in Multivariate Time Series. SDM 2009: 413-424 | |
| 48 | Pang-Ning Tan: Neural Networks. Encyclopedia of Database Systems 2009: 1906-1909 | |
| 47 | Pang-Ning Tan: Receiver Operating Characteristic. Encyclopedia of Database Systems 2009: 2349-2352 | |
| 2008 | ||
| 46 | Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: Data mining for visual exploration and detection of ecosystem disturbances. GIS 2008: 60 | |
| 45 | Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan: Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM 2008: 345-359 | |
| 44 | Haibin 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 | |
| 43 | Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian: A matrix alignment approach for link prediction. ICPR 2008: 1-4 | |
| 42 | Haibin Cheng, Pang-Ning Tan: Semi-supervised learning with data calibration for long-term time series forecasting. KDD 2008: 133-141 | |
| 41 | Feilong Chen, Jerry Scripps, Pang-Ning Tan: Link Mining for a Social Bookmarking Web Site. Web Intelligence 2008: 169-175 | |
| 40 | H. 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) | |
| 2007 | ||
| 39 | Hamed Valizadegan, Pang-Ning Tan: A Prototype-driven Framework for Change Detection in Data Stream Classification. CIDM 2007: 88-95 | |
| 38 | Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch: Recommendation via Query Centered Random Walk on K-Partite Graph. ICDM 2007: 457-462 | |
| 37 | Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian: Exploration of Link Structure and Community-Based Node Roles in Network Analysis. ICDM 2007: 649-654 | |
| 36 | H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan: A Probabilistic Substructure-Based Approach for Graph Classification. ICTAI (1) 2007: 346-349 | |
| 35 | Samah Jamal Fodeh, Pang-Ning Tan: Incorporating Background Knowledge for Subjective Rule Evaluation. ICTAI (2) 2007: 148-155 | |
| 34 | Hamed Valizadegan, Pang-Ning Tan: Kernel Based Detection of Mislabeled Training Examples. SDM 2007 | |
| 33 | Haibin Cheng, Pang-Ning Tan, Rong Jin: Localized Support Vector Machine and Its Efficient Algorithm. SDM 2007 | |
| 2006 | ||
| 32 | Jing Gao, Pang-Ning Tan: Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. ICDM 2006: 212-221 | |
| 31 | H. 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 | |
| 30 | Brian D. Connelly, Christopher W. Bowron, Li Xiao, Pang-Ning Tan, Chen Wang: Adaptively Routing P2P Queries Using Association Analysis. ICPP 2006: 281-288 | |
| 29 | H. D. K. Moonesinghe, Pang-Ning Tan: Outlier Detection Using Random Walks. ICTAI 2006: 532-539 | |
| 28 | Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps: Multistep-Ahead Time Series Prediction. PAKDD 2006: 765-774 | |
| 27 | Jing Gao, Haibin Cheng, Pang-Ning Tan: Semi-supervised outlier detection. SAC 2006: 635-636 | |
| 26 | Jing Gao, Haibin Cheng, Pang-Ning Tan: A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. SDM 2006 | |
| 25 | Jerry Scripps, Pang-Ning Tan: Clustering in the Presence of Bridge-Nodes. SDM 2006 | |
| 24 | Jing Gao, Pang-Ning Tan, Haibin Cheng: Semi-Supervised Clustering with Partial Background Information. SDM 2006 | |
| 23 | Hui Xiong, Pang-Ning Tan, Vipin Kumar: Hyperclique pattern discovery. Data Min. Knowl. Discov. 13(2): 219-242 (2006) | |
| 22 | Hui 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) | |
| 21 | Bo 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) | |
| 2005 | ||
| 20 | Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining Addison-Wesley 2005 | |
| 19 | Bo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan: Local Detection of Selfish Routing Behavior in Ad Hoc Networks. ISPAN 2005: 392-399 | |
| 18 | Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan: An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. PAKDD 2005: 420-425 | |
| 2004 | ||
| 17 | Michael Steinbach, Pang-Ning Tan, Vipin Kumar: Support envelopes: a technique for exploring the structure of association patterns. KDD 2004: 296-305 | |
| 16 | Hui 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 | |
| 15 | Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar: Generalizing the notion of support. KDD 2004: 689-694 | |
| 14 | Pang-Ning Tan, Rong Jin: Ordering patterns by combining opinions from multiple sources. KDD 2004: 695-700 | |
| 13 | Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar: HICAP: Hierarchical Clustering with Pattern Preservation. SDM 2004 | |
| 12 | Aysel Ozgur, Pang-Ning Tan, Vipin Kumar: RBA: An Integrated Framework for Regression based on Association Rules. SDM 2004 | |
| 11 | Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava: Selecting the right objective measure for association analysis. Inf. Syst. 29(4): 293-313 (2004) | |
| 2003 | ||
| 10 | Hui Xiong, Pang-Ning Tan, Vipin Kumar: Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. ICDM 2003: 387-394 | |
| 9 | Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter: Discovery of climate indices using clustering. KDD 2003: 446-455 | |
| 2002 | ||
| 8 | Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava: Selecting the right interestingness measure for association patterns. KDD 2002: 32-41 | |
| 7 | Vipin 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) | |
| 2001 | ||
| 5 | Pang-Ning Tan, Vipin Kumar: Mining Indirect Associations in Web Data. WEBKDD 2001: 145-166 | |
| 2000 | ||
| 4 | Pang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman: Textual data mining of service center call records. KDD 2000: 417-423 | |
| 3 | Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava: Indirect Association: Mining Higher Order Dependencies in Data. PKDD 2000: 632-637 | |
| 2 | Jaideep 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) | |
| 1999 | ||
| 1 | Robert Cooley, Pang-Ning Tan, Jaideep Srivastava: Discovery of Interesting Usage Patterns from Web Data. WEBKDD 1999: 163-182 | |