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dc.date.accessioned 2012-11-06T14:33:28Z
dc.date.available 2012-11-06T14:33:28Z
dc.date.issued 2012-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23749
dc.description.abstract 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. en
dc.language en es
dc.subject Algorithms es
dc.subject base de datos es
dc.subject Knowledge Discovery en
dc.subject Data mining es
dc.subject Association Rules en
dc.subject Genetic Algorithm en
dc.title Assessing different rule quality measures in a genetic algorithm for discovering association rules en
dc.type Objeto de conferencia es
sedici.creator.person Soto, Wilson es
sedici.creator.person Olaya Benavides, Amparo es
sedici.description.note Eje: Workshop Bases de datos y minería de datos (WBDDM) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2012-10
sedici.relation.event XVIII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)