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Journals ACM Computing Surveys (CSUR) Volume 38 Issue 3

Interestingness measures play an important role in data mining, regardless of the kind of patterns being mined. These measures are intended for selecting and ranking patterns according to their potential interest to the user. Good measures also allow the time and space costs of the mining process to be reduced. This survey reviews the interestingness measures for rules and summaries, classifies them from several perspectives, compares their properties, identifies their roles in the data mining process, gives strategies for selecting appropriate measures for applications, and identifies opportunities for future research in this area.

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Interestingness measures for data mining: A survey

Geng, Liqiang; Hamilton, Howard J.
ACM Computing Surveys (CSUR) , Volume 38 (3)
Association for Computing Machinery – Sep 30, 2006

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