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Assessing different rule quality measures in a genetic algorithm for discovering association rules

Soto, Wilson et al · SEDICI UNLP · 2012

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Author / responsible party
Soto, Wilson et al
Publisher
SEDICI UNLP
Year
2012
Language
English

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The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules. Also, we present an improvement for this algorithm: (i) the mutation stage is calculated with a probability independent for each individual and (ii) the selection stage is calculated with Boltzmann selection. The proposed version was tested with 10 di erent rule quality evaluation functions on 6 benchmark datasets. Eje: Workshop Bases de datos y minería de datos (WBDDM) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Soto, W. E. A. (2012). Assessing different rule quality measures in a genetic algorithm for discovering association rules. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23749

MLA

Soto, Wilson et al. Assessing different rule quality measures in a genetic algorithm for discovering association rules. SEDICI UNLP, 2012. http://sedici.unlp.edu.ar/handle/10915/23749.

Chicago

Soto, Wilson et al. 2012. Assessing different rule quality measures in a genetic algorithm for discovering association rules. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23749.

Harvard

Soto, W. E. A. 2012, Assessing different rule quality measures in a genetic algorithm for discovering association rules, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/23749 [Accessed 7 Aug. 2026].

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Title
Assessing different rule quality measures in a genetic algorithm for discovering association rules
Author / contributors
Soto, Wilson et al
Publisher
SEDICI UNLP
Publication year
2012
Language
English

Subjects

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Ciencias Informáticas; Algorithms; base de datos; Data mining; Knowledge Discovery; Association Rules; Genetic Algorithm
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