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)
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| Official URL: http://dx.doi.org/10.1007/BFb0094799 |
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Abstract
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 |
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| 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: | https://kar.kent.ac.uk/id/eprint/21572 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Freitas, Alex A..
| Creator's ORCID: |
 https://orcid.org/0000-0001-9825-4700
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