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

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 th...

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Detalles Bibliográficos
Autores principales: Soto, Wilson, Olaya Benavides, Amparo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Algorithms
base de datos
Data mining
Knowledge Discovery
Association Rules
Genetic Algorithm
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23749
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23749
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Algorithms
base de datos
Data mining
Knowledge Discovery
Association Rules
Genetic Algorithm
spellingShingle Ciencias Informáticas
Algorithms
base de datos
Data mining
Knowledge Discovery
Association Rules
Genetic Algorithm
Soto, Wilson
Olaya Benavides, Amparo
Assessing different rule quality measures in a genetic algorithm for discovering association rules
topic_facet Ciencias Informáticas
Algorithms
base de datos
Data mining
Knowledge Discovery
Association Rules
Genetic Algorithm
description 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.
format Objeto de conferencia
Objeto de conferencia
author Soto, Wilson
Olaya Benavides, Amparo
author_facet Soto, Wilson
Olaya Benavides, Amparo
author_sort Soto, Wilson
title Assessing different rule quality measures in a genetic algorithm for discovering association rules
title_short Assessing different rule quality measures in a genetic algorithm for discovering association rules
title_full Assessing different rule quality measures in a genetic algorithm for discovering association rules
title_fullStr Assessing different rule quality measures in a genetic algorithm for discovering association rules
title_full_unstemmed Assessing different rule quality measures in a genetic algorithm for discovering association rules
title_sort assessing different rule quality measures in a genetic algorithm for discovering association rules
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/23749
work_keys_str_mv AT sotowilson assessingdifferentrulequalitymeasuresinageneticalgorithmfordiscoveringassociationrules
AT olayabenavidesamparo assessingdifferentrulequalitymeasuresinageneticalgorithmfordiscoveringassociationrules
bdutipo_str Repositorios
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