New results for a hybrid decision tree/genetic algorithm for data mining

Carvalho, D.R. and Freitas, A.A. (2002) New results for a hybrid decision tree/genetic algorithm for data mining. In: Lofti, A. and Garibaldi, J. and John, R., eds. Applications and Science in Soft Computing (Advances in Soft Computing) (Advances in Intelligent and Soft Computing). Advances in Intelligent and Soft Computing, 1. Springer, Berlin pp. 260-265. ISBN 978-3540408567. (The full text of this publication is not available from this repository)

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Abstract

This paper proposes a hybrid decision tree/genetic algorithm for solving the problem of small disjuncts in the classification task of data mining. It reports computational results comparing the proposed algorithm with two versions of C4.5 (one of them also specifically designed for solving the problem of small disjuncts) in 22 data sets.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: decision trees, genetic algorithm, 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: 11 May 2012 14:30
Resource URI: http://kar.kent.ac.uk/id/eprint/13697 (The current URI for this page, for reference purposes)
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