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

Carvalho, Deborah R., Freitas, Alex A. (2002) New results for a hybrid decision tree/genetic algorithm for data mining. In: Lofti, A. and Garibaldi, J. and John, R., eds. Proc. 4th Int. Conf. on Recent Advances in Soft Computing (RASC-2002). Advances in Intelligent and Soft Computing , 1. pp. 260-265. Springer, Berlin ISBN 978-3-540-40856-7. (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) (KAR id:13697)

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)

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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13697 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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