On Rule Interestingness Measures

Freitas, Alex A. (1999) On Rule Interestingness Measures. Knowledge-Based Systems, 12 (5-6). pp. 309-315. ISSN 0950-7051. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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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. This article aims at: (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.

Item Type: Article
Additional information: Proceedings paper; Event title: 18th SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence (ES98); Event location: Cambridge, England; Event dates: Dec 14-16, 1998
Uncontrolled keywords: data mining; rule interestingness; rule surprisingness
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 09 Sep 2009 17:07
Last Modified: 20 May 2014 09:11
Resource URI: https://kar.kent.ac.uk/id/eprint/21761 (The current URI for this page, for reference purposes)
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