Graphical models for data mining

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Graphical models for data mining

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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

Seattle, WA, USA

Pages: 2 - 2

Year of Publication: 2004

ISBN:1-58113-888-1

Author

David Heckerman

Microsoft Research, Redmond, WA

Sponsors

SIGMOD: ACM Special Interest Group on Management of Data
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 6, Downloads (12 Months): 45, Citation Count: 0

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abstract collaborative colleagues

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ABSTRACT

I will discuss the use of graphical models for data mining. I will review key research areas including structure learning, variational methods, a relational modeling, and describe applications ranging from web traffic analysis to AIDS vaccine design.

Collaborative Colleagues:

David Heckerman: colleagues

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