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On Objective Measures of Rule Surprisingness

Freitas, Alex A. (1998) On Objective Measures of Rule Surprisingness. In: Zytkow, Jan M. and Quafafou, Mohamed, eds. Principles of Data Mining and Knowledge Discovery Second European Symposium. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 1-9. ISBN 978-3-540-65068-3. E-ISBN 978-3-540-49687-8. (doi:10.1007/BFb0094799) (KAR id:21572)


Most of the literature argues that surprisingness is an inherently subjective aspect of the discovered knowledge, which cannot be measured in objective terms. This paper departs from this view, and it has a twofold goal: (1) showing that it is indeed possible to define objective (rather than subjective) measures of discovered rule surprisingness; (2) proposing new ideas and methods for defining objective rule surprisingness measures.

Item Type: Book section
DOI/Identification number: 10.1007/BFb0094799
Uncontrolled keywords: Data Mining, Information Gain, Continuous Attribute, Data Mining Algorithm, Binary Attribute
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: 21 Aug 2009 23:20 UTC
Last Modified: 16 Nov 2021 09:59 UTC
Resource URI: (The current URI for this page, for reference purposes)

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