Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar Addison Wesley, ISBN: 0-321-32136-7
Prakash Mandayam-Comar, Pang-Ning Tan, and Anil Jain. A Framework for Joint Community Detection Across Multiple Related Networks, accepted for Neurocomputing Journal (2011)
Prakash Mandayam-Comar, Pang-Ning Tan, and Anil K Jain, LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction, Proceedings of IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, December 11-14 (2011)
Zubin Abraham, Fan Xin, and Pang-Ning Tan Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling, Proceedings of NASA Conference on Intelligent Data Understanding (CIDU 2011), Mountain View, California, October 19-21 (2011)
Feilong Chen, Supranamaya Ranjan, and Pang-Ning Tan Detecting bots via Incremental LS-SVM Learning with Dynamic Feature Adaptation, Proceedings of ACM SIGKDD International Conference on Data Mining (KDD 2011), San Diego, California, August 21-24 (2011)
Samah Fodeh, William F Punch, and Pang-Ning Tan. On Ontology-Driven Document Clustering Using Core Semantic Features, Knowledge and Information Systems journal, 28(2), 395-421 (2011)
Julie Winkler, Galina Guentchev, Perdinan, Pang-Ning Tan, Sharon Zhong, Malgorzata Liszweska, Zubin Abraham, Tadeusz Niedzwiedz, and Zbigniew Ustrnul. Climate scenario development and applications for local/regional climate change impact assessments: An overview for the non-climate scientist. Part I: Scenario development using downscaling methods, Geography Compass, 5(6): 275-300, June (2011)
Julie Winkler, Galina Guentchev, Malgorzata Liszweska, Perdinan, and Pang-Ning Tan. Climate scenario development and applications for local/regional climate change impact assessments: An overview for the non-climate scientist. Part II: Considerations when using climate change scenarios, Geography Compass, 5(6): 301-328, June (2011)
