Rule Discovery with a Parallel Genetic Algorithm

Araujo, D.L.A. and Lopes, H.S. and Freitas, A.A. (2000) Rule Discovery with a Parallel Genetic Algorithm. In: Proc 2000 Genetic and Evolutionary Computation Conf Workshop Program, July 2000, Las Vegas, USA, .

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Abstract

An important issue in data mining is scalability with respect to the size of the dataset being mined. In the paper we address this issue by presenting a parallel GA for rule discovery. This algorithm exploits both data parallelism, by distributing the data being mined across all available processors, and control parallelism, by distributing the population of individuals across all available processors.

Item Type:	Conference or workshop item (Paper)
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:	04 Sep 2009 15:27
Last Modified:	08 Jun 2012 13:51
Resource URI:	http://kar.kent.ac.uk/id/eprint/22000 (The current URI for this page, for reference purposes)

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