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On Rule Interestingness Measures

Freitas, Alex A. (1999) On Rule Interestingness Measures. Knowledge-Based Systems, 12 (5-6). pp. 309-315. ISSN 0950-7051. (doi:10.1016/S0950-7051(99)00019-2) (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) (KAR id:21761)

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.
Official URL:
http://dx.doi.org/10.1016/S0950-7051(99)00019-2

Abstract

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
DOI/Identification number: 10.1016/S0950-7051(99)00019-2
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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 09 Sep 2009 17:07 UTC
Last Modified: 16 Nov 2021 10:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21761 (The current URI for this page, for reference purposes)

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