The MIE department presents: Data Mining with Big Data by Professor Wei Ding from UMASS Boston
Abstract: Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. In this talk, I will give an overview of our recent machine learning and data mining results in feature selection, distance metric learning, and least squares-based optimization with applications to NASA mission data analysis, extreme weather prediction, and physical activity analysis for children obesity.
Brief Bio: Wei Ding received her Ph.D. degree in Computer Science from the University of Houston in 2008. She is an Associate Professor of Computer Science in the University of Massachusetts Boston. Her research interests include data mining, machine learning, artificial intelligence, computational semantics, and with applications to astronomy, geosciences, and environmental sciences. She has published more than 85 referred research papers, 1 book, and has 2 patents. She is an Associate Editor of Knowledge and Information Systems (KAIS) and an editorial board member of the Journal of Information System Education (JISE), the Journal of Big Data, and the Social Network Analysis and Mining Journal. She is the recipient of a Best Paper Award at the 2011 IEEE International Conference on Tools with Artificial Intelligence (ICTAI), a Best Paper Award at the 2010 IEEE International Conference on Cognitive Informatics (ICCI), a Best Poster Presentation award at the 2008 ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPAITAL GIS), and a Best PhD Work Award between 2007 and 2010 from the University of Houston. Her research projects are currently sponsored by NASA and DOE. She is an IEEE senior member and an ACM member.
Friday, October 3, 2014 at 10:30am to 11:30am
Shillman Hall, 305