Building Data Science Tools and Platforms for Business Applications
Jian Pei, Ph.D.
Simon Fraser University, Canada
Monday, Feb. 29, 2016
1:30 p.m.–2:30 p.m.
Brickyard (BYENG) 210, Tempe campus [map]
In the last several years, we have conducted in-depth data science research in several exciting applications, such as health informatics. We built a series of tools for our industry partners to analyze and explore transaction, spatial, temporal and social data, and conduct contrast aspect analysis, viral marketing analysis, benchmark analysis, fraud detection, investigation and management, early prediction, and population index analysis. In this talk, I will present a brief overview of our data science analytics platform, and showcase some recent technical breakthroughs in contrast aspect analysis and continuous influence maximization for viral marketing, as well as their successful applications in industry.
Jian Pei is currently a Canada Research Chair in Big Data Science, a professor in the School of Computing Science and the Department of Statistics and Actuarial Science at Simon Fraser University, Canada. His expertise is in developing business driven, technology enabled data analytics for critical applications. His publications have been cited by more than 56,000 in literature, and by more than 28,000 since 2011. He is the founding director of the Pacific Blue Cross Health Informatics Laboratory. His leadership in creating industry relationship was highlighted by national news media. He received a few prestigious awards, including the 2014 IEEE ICDM Research Contributions Award and the 2015 ACM SIGKDD Service Award. He is a fellow of both ACM and IEEE.