Agrawal, Rakesh - Rakesh Agrawal is a Microsoft Technical Fellow and heads the Search Labs in Microsoft Research. He is the recipient of the ACM-SIGKDD First Innovation Award, ACM-SIGMOD Edgar F. Codd Innovations Award, ACM-SIGMOD Test of Time Award, VLDB 10-Yr Most Influential Paper Award, ICDE Most Influential Paper Award, and Computerworld First Horizon Award. He is a Member of the National Academy of Engineering, a Fellow of ACM, and a Fellow of IEEE. Scientific American named him to the list of 50 top scientists and technologists in 2003.
Biswas, Gautam - An associate professor at Vanderbilt University, Dr. Biswas is also an associate director of the Center for Intelligent Systems at the Vanderbilt University School of Engineering. His work in knowledge discovery includes a conceptual clustering system and a knowledge-based equation discovery system that uses clustering techniques in deriving analytical equations for the response variable.
Edelstein, Herb - Herb Edelstein is an internationally recognized expert in data mining, data warehousing and CRM, consulting to both computer vendors and users. A popular speaker and teacher, he writes a column for DM Review. He is also a co-founder of The Data Warehousing Institute. Herb is currently the President of Two Crows Inc. Formerly he was a VP at Sybase.
Langley, Pat - Pat Langley's research focuses on machine learning -- the study of algorithms that improve their performance based on experience. Dr. Langley received his Ph.D. from Carnegie Mellon University in 1979. Since then, he has worked in academia (at Carnegie Mellon and the University of California, Irvine), in government (NASA Ames Research Center), and in industry (Siemens Corporate Research). He currently serves as Director of the Institute for the Study of Learning and Expertise (a nonprofit research center), as Head of the Intelligent Systems Laboratory at Daimler-Benz Research and Technology, and as Consulting Professor of Symbolic Systems at Stanford University, where he continues his learning research in the areas of planning, perception, and control. langley@rtna.daimlerbenz.com
Thearling, Kurt - Kurt Thearling has spent more than fifteen years designing and building analytic software systems and has a well established industry reputation as an expert in data mining, decision support, and CRM technologies. He is currently Director of Advanced Data Mining at Capital One, where he is responsible for driving the use of data mining and data analysis technology across the company. Before joining Capital One, he was Director of Engineering at AnVil Inc., where he led a technology organization that supported AnVil's business analyzing life science datasets. Before AnVil, he was Chief Scientist at Wheelhouse, a customer relationship management (CRM) technology company. Prior to Wheelhouse, he held senior technology positions at Xchange, Dun & Bradstreet, Pilot Software, and Thinking Machines Corporation. Dr. Thearling received his Ph.D. in Electrical Engineering from the University of Illinois and has multiple undergraduate engineering degrees from the University of Michigan. He has written numerous articles on the topic of data mining and is a co-author of the book Building Data Mining Applications for CRM. His extensive data mining and analytics web site can be found at http://www.thearling.com/.
DACS Gold Practice Initiative
