| 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 |
