|Title||:||Sub-graph Outlier Mining and Entity Mining.|
|Speaker||:||Manish Gupta (Microsoft Research)|
|Details||:||Tue, 7 Apr, 2015 10:00 AM @ BSB 361|
|Abstract:||:||In this talk, I will introduce my work in the past two years on interesting problems in two research areas of my interest: Sub-graph outlier mining and Entity mining. In sub-graph outlier mining, I will touch upon the problems of mining topK interesting subgraphs, local learning for mining outlier subgraphs, and the graph cuboid outlier problem. In Entity mining, I will discuss the problems of modeling evolution of product entities, extracting structured natural disaster events from Twitter, extracting person infoboxes from books, and finally linking event mentions from cricket match reports to commentaries.
Bio: Manish Gupta is a Senior Applied Scientist at the Bing team in Microsoft India R&D Private Limited at Hyderabad, India. He is also an Adjunct Faculty at International Institute of Information Technology, Hyderabad. He received his Masters in Computer Science from IIT Bombay in 2007 and his Ph.D. from the University of Illinois at Urbana-Champaign in 2013. Before this, he worked for Yahoo! Bangalore for two years. His research interests are in the areas of web mining, data mining and information retrieval. He has published more than 30 research papers in reputable referred journals and conferences. He has also co-authored a book on Outlier Detection for Temporal Data.