Pang-ning Tan

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Pang-ning Tan
Associate Professor
Research Biography

Pang-Ning Tan received his Ph.D. degree in Computer Science and M.S. degree in Physics from the University of Minnesota. His research focuses on the development and application of data mining algorithms for a wide variety of applications including Earth Science, social networks, Web mining, medical informatics, and computer security. His research interests include pattern discovery in large databases, mining spatio-temporal and evolving data sets, incorporating background knowledge into data mining, and mining graphs and network data.

Research Interests
  • data mining
Selected Publications
  • Haibin Cheng and Pang-Ning Tan. Semi-supervised Learning with DataCalibration for Long-Term Time Series Forecasting, In Proceedings ofthe ACM SIGKDD International Conference on Data Mining (KDD-2008), Lake Las Vegas, Nevada (2008).
  • Jerry Scripps, Pang-Ning Tan, Feilong Chen, and Abdol-HosseinEsfahanian. A Matrix Alignment Approach for Link Prediction, InProc of the 19th International Conference on Pattern Recognition(ICPR-08), Tampa, Florida (2008)
  • Pang-Ning Tan, Michael Steinbach, and Vipin Kumar. Introduction to Data Mining. Addison-Wesley (2005).
  • Jerry Scripps and Pang-Ning Tan. Clustering in the Presence ofBridge-Nodes. In Proceedings of SIAM International Conference on Data Mining, Bethesda, MD (2006).