A distributed-population genetic algorithm for discovering interesting prediction rules

Noda, Edgar and Freitas, Alex 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 currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (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: 15 Jul 2014 14:12
Resource URI: https://kar.kent.ac.uk/id/eprint/13741 (The current URI for this page, for reference purposes)
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