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. Lecture Notes in Computer Science, 1510. Springer-Verlag Berlin, Berlin pp. 1-9. ISBN 3-540-65068-7. (doi:https://doi.org/10.1007/BFb0094798) (Full text available)

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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: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 21 Aug 2009 23:20 UTC
Last Modified: 30 Apr 2014 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21572 (The current URI for this page, for reference purposes)
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