Jianying Hu, Research Staff Member,
IBM Thomas. J. Watson Research Center

"Clustering Problems in Business Analytics"

Tuesday, March 24, 4:00PM

Packard Lab room 466

Reception prior to talk in Packard Lobby

Abstract: Business analytics is defined as the gathering and interpretation of data to assist business decision making and business process optimization. The increasing amount of data being collected on a daily basis, from business operations to performance metrics to employee work records, present a great opportunity for advanced research in pattern recognition, data mining and statistical modeling to create significant business value. At the same time, they also present unique challenges in these areas. This talk will focus on the clustering problems encountered in business analytics. I will first give a brief overview of the business applications we have encountered where clustering analysis provides critical value. I will then present three recent projects on problems inspired by business applications: K-means clustering of proportional data using L1 distance, categorization using semi-supervised clustering, and co-clustering with dual supervision.

Bio: Jianying Hu is a research staff member at IBM Thomas. J. Watson Research Center. She studied Electrical Engineering at Tsinghua University in China, and received her Ph.D. in Computer Science from SUNY Stony Brook in the US in 1993. Prior to joining IBM she was with Bell Labs (1993 to 2000) and Avaya Labs Research (2000 to 2002).  Her main research interests include statistical pattern recognition and signal processing, with applications to business analytics, document image analysis, and multimedia content analysis and retrieval. A senior member of IEEE, Dr. Hu has served as an Associate Editor for IEEE Transactions on Image Processing, and guest editors for the journals Pattern Recognition and International Journal on Document Analysis and Recognition. She is currently serving as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence