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David D. JensenAssociate Professor, Computer ScienceKnowledge 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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