General Information:
Dr. Pang-Ning Tan is an Associate Professor in the Department of Computer Science and Engineering at MSU. He received his M.S degree in Physics and Ph.D. degree in Computer Science from University of Minnesota. His research interests span a broad range of data mining problems, from pattern discovery (association analysis, anomaly detection, and cluster analysis) to predictive modeling. In addition to addressing fundamental problems in data mining, he is also interested in applying data mining techniques to various application domains including climate and Earth sciences, social and information networks, botnet and webspam detection, and medical informatics. His research has been supported by the National Science Foundation, Office of Naval Research, Army Research Office, National Aeronautics and Space Administration, and Michigan State University.
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Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar Addison Wesley, ISBN: 0-321-32136-7 Instructor Resources |
Current Students:
- Zubin Abraham
- Prakash Mandayam Comar
- Liu Lei
- Jonathan Babbage
- Jianpeng Xu
- Couri Van Dam
- Xi Liu
- Shuai Yuan
Graduated PhD Students:
- Kapila Moonesinghe (2007)
- Haibin Cheng (2008)
- Jerry Scripps (2009)
- Samah Fodeh (2010)