Analysis of Measures of Quantitative Association Rules

Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal

doi:http://dx.doi.org/10.1007/978-3-642-21222-2_39

Capítulo de Libro

dc.creator	Martínez Ballesteros, María del Mar	es
dc.creator	Riquelme Santos, José Cristóbal	es
dc.date.accessioned	2016-06-14T10:20:38Z
dc.date.available	2016-06-14T10:20:38Z
dc.date.issued	2011
dc.identifier.isbn	978-3-642-21221-5	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	http://hdl.handle.net/11441/42225
dc.description.abstract	This paper presents the analysis of relationships among different interestingness measures of quality of association rules as first step to select the best objectives in order to develop a multi-objective algorithm. For this purpose, the discovering of association rules is based on evolutionary techniques. Specifically, a genetic algorithm has been used in order to mine quantitative association rules and determine the intervals on the attributes without discretizing the data before. The algorithm has been applied in real-word climatological datasets based on Ozone and Earthquake data.	es
dc.description.sponsorship	Ministerio de Ciencia y Tecnología TIN2007-68084-C-00
dc.description.sponsorship	Junta de Andalucía P07-TIC-02611
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	Hybrid Artificial Intelligent Systems : 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II. Lecture Notes in Computer Science, v.6679	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Data mining	es
dc.subject	evolutionary algorithms	es
dc.subject	quantitative association rules	es
dc.title	Analysis of Measures of Quantitative Association Rules	es
dc.type	info:eu-repo/semantics/bookPart	es
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.relation.projectID	TIN2007-68084-C-00	es
dc.relation.projectID	P07-TIC-02611	es
dc.identifier.doi	http://dx.doi.org/10.1007/978-3-642-21222-2_39	es
idus.format.extent	8	es
dc.publication.initialPage	319	es
dc.publication.endPage	326	es
dc.relation.publicationplace	Berlin	es
dc.identifier.idus	https://idus.us.es/xmlui/handle/11441/42225
dc.contributor.funder	Ministerio de Ciencia y Tecnología (MCYT). España
dc.contributor.funder	Junta de Andalucía

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