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A Microeconomic View of Data Mining

A Microeconomic View of Data Mining We present a rigorous framework, based on optimization, for evaluating data mining operations such as associations and clustering, in terms of their utility in decision-making. This framework leads quickly to some interesting computational problems related to sensitivity analysis, segmentation and the theory of games. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Data Mining and Knowledge Discovery Springer Journals

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References (24)

Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Computer Science; Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
ISSN
1384-5810
eISSN
1573-756X
DOI
10.1023/A:1009726428407
Publisher site
See Article on Publisher Site

Abstract

We present a rigorous framework, based on optimization, for evaluating data mining operations such as associations and clustering, in terms of their utility in decision-making. This framework leads quickly to some interesting computational problems related to sensitivity analysis, segmentation and the theory of games.

Journal

Data Mining and Knowledge DiscoverySpringer Journals

Published: Sep 29, 2004

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