Pang-Ning Tan
Professor Michigan State University
Media
Biography
Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. He received his MS degree in Physics and PhD degree in Computer Science from University of Minnesota. His research interests are in data mining and machine learning with application to various scientific and engineering domains, particularly in environmental and ecological sciences, network science, and cybersecurity. He has published more than 150 peer-reviewed articles and co-authored a widely-used textbook on data mining. His research has been supported by NSF, NASA, ONR, NOAA, NIH, and ARO, and through gifts from Cisco, Bosch Research, Hewlett Packard Research, and Narus.
Industry Expertise
Mining and Metals
Education/Learning
Research
Areas of Expertise
Data Mining
Machine Learning
Data Science
Network Analysis
Spatio-temporal Analysis
Education
University of Minnesota
Ph.D.
Computer Science
2002
University of Minnesota
M.S.
Physics
1996
University of Technology of Malasia
B.S.
Physics
1992
Journal Articles
WISDOM: Weighted Incremental Spatio-Temporal Multi-Task Learning via Tensor Decomposition
Proceedings of IEEE International Conference on Big Data2016
This paper presents a novel multi-task learning
framework for the accurate prediction of spatio-temporal data at multiple locations. The framework encodes the data as a third-order tensor and performs supervised tensor decomposition to identify the latent factors that capture the inherent spatiotemporal variabilities of the data and their relationship to the target variable of interest.
