Freitas, A.A. (1998) On Objective Measures of Rule Surprisingness. In: Zytkow, J.M. and Quafafou, M., eds. Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science, 1510. Springer-Verlag, Berlin pp. 1-9. ISBN 3-540-65068-7.
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 > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group|
|Depositing User:||Mark Wheadon|
|Date Deposited:||21 Aug 2009 23:20|
|Last Modified:||08 Jun 2012 13:53|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/21572 (The current URI for this page, for reference purposes)|
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