JCLEC Meets WEKA!

dc.contributor.author	Cano, Alberto
dc.contributor.author	Luna, J.M.
dc.contributor.author	Olmo Ortiz, Juan Luis
dc.contributor.author	Ventura Soto, S.
dc.date.accessioned	2014-02-27T12:32:00Z
dc.date.available	2014-02-27T12:32:00Z
dc.date.issued	2014-02-27
dc.identifier.uri	http://hdl.handle.net/10396/11880
dc.description.abstract	WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework is JCLEC, which has been successfully employed for developing several EAs. The combination of both may lead in a mutual bene t. Thus, this paper proposes an intermediate layer to connect WEKA with JCLEC. It also presents a study case which samples the process of including a JCLEC's EA into WEKA	es_ES
dc.format.mimetype	application/pdf	es_ES
dc.language.iso	eng	es_ES
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0/	es_ES
dc.subject	WEKA	es_ES
dc.subject	JCLEC	es_ES
dc.subject	Evolutionary algorithms	es_ES
dc.subject	Data mining	es_ES
dc.title	JCLEC Meets WEKA!	es_ES
dc.type	info:eu-repo/semantics/conferenceObject	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES