Noda, E. and Freitas, A.A. and Yamakami, Akebo (2002) A distributed-population genetic algorithm for discovering interesting prediction rules. In: Benitez, J.M. and Gordon, Oscar, eds. Advances in Soft Computing. Springer, London pp. 287-296. ISBN 978-1-85233-755-1.
| The full text of this publication is not available from this repository. (Contact us about this Publication) |
| Item Type: | Conference or workshop item (Paper) |
|---|---|
| Uncontrolled keywords: | genetic algorithms, data mining, classification |
| 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: | 24 Nov 2008 17:59 |
| Last Modified: | 08 Jun 2012 13:42 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/13741 (The current URI for this page, for reference purposes) |
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