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Rule Discovery with a Parallel Genetic Algorithm

Araujo, Dieferson L.A., Lopes, Heitor S., Freitas, Alex A. (2000) Rule Discovery with a Parallel Genetic Algorithm. In: Proc 2000 Genetic and Evolutionary Computation Conf Workshop Program. . pp. 89-92. , Las Vegas, USA (KAR id:22000)

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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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 04 Sep 2009 15:27 UTC
Last Modified: 16 Nov 2021 10:00 UTC
Resource URI: (The current URI for this page, for reference purposes)
Freitas, Alex A.:
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