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Erschienen in:
1999 | OriginalPaper | Buchkapitel
On Rule Interestingness Measures
verfasst von : Alex A. Freitas
Erschienen in: Research and Development in Expert Systems XV
Verlag: Springer London
Enthalten in: Professional Book Archive
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This paper discusses several factors influencing the evaluation of the degree of interestingness of rules discovered by a data mining algorithm. The main goals of this paper are: (1) drawing attention to several factors related to rule interestingness that have been somewhat neglected in the literature; (2) showing some ways of modifying rule interestingness measures to take these factors into account; (3) introducing a new criterion to measure attribute surprisingness, as a factor influencing the interestingness of discovered rules.