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What are the grand challenges for data mining?: KDD-2006 panel report

What are the grand challenges for data mining?: KDD-2006 panel report We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining, link mining, large-scale modeling, text mining, and proteomics. This report is the result of a panel held at KDD-2006 conference. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGKDD Explorations Newsletter Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2006 by ACM Inc.
ISSN
1931-0145
DOI
10.1145/1233321.1233330
Publisher site
See Article on Publisher Site

Abstract

We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining, link mining, large-scale modeling, text mining, and proteomics. This report is the result of a panel held at KDD-2006 conference.

Journal

ACM SIGKDD Explorations NewsletterAssociation for Computing Machinery

Published: Dec 1, 2006

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