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David D. Jensen

Associate Professor, Computer Science
Knowledge Discovery Laboratory
Knowledge discovery and data mining, intelligent data analysis, machine learning, artificial intelligence

Background: D.Sc. Engineering and Policy, Washington University (1992); Graduate Certificate Artificial Intelligence, Washington University (1989); M.S. Engineering and Policy, Washington University (1988); B.S. Mechanical Engineering, University of Nebraska (1986). From 1991, until he joined the department in 1995, Jensen was an analyst with the Office of Technology Assessment, an analytical agency of the United States Congress. He was named an Associate Professor in the Department in 2004.

Research: Professor Jensen's current research focuses relational knowledge discovery and how knowledge discovery and data mining techniques can be used to analyze large multiagent systems.  Relational knowledge discovery analyzes data that can be represented as objects and links (e.g., social networks, web pages, and complex databases).  Analyzing such data poses unique challenges and opportunities for machine learning, data mining, and AI. Other research interests include statistical inference in machine learning and data mining, computing and public policy, and evaluation of AI systems.

Activities and awards: Professor Jensen has served on several program committees, including the International Conference on Knowledge Discovery and Data Mining (KDD97, KDD98, and KDD99, KDD2001), the National Conference on Artificial Intelligence (AAAI99, AAAI2000, IJCAI2001), and the Conference on Intelligent Data Analysis (IDA97, IDA99, IDA2001). He was organizer and co-chair (with Henry Goldberg) of the 1998 AAAI Fall Symposium on Artificial Intelligence and Link Analysis, and co-chair (with Lise Getoor) of the AAAI2000 Workshop on Learning Statistical Models from Relational Data.  He has given several tutorials (with his colleague Foster Provost) on evaluating machine learning and data mining algorithms at KDD98, AAAI99, and IJCAI99. He is a member of the American Association for Artificial Intelligence, the ACM Special Interest Group on Knowledge Discovery in Databases, and Computer Professionals for Social Responsibility. In 2003, Jensen and researchers from his Lab won first place in the KDD Cup data mining competition.

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