Combining adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced problems

dc.contributor.author	Palacios Jiménez, Ana María
dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Couso Blanco, Inés
dc.date.accessioned	2014-03-14T07:42:11Z
dc.date.available	2014-03-14T07:42:11Z
dc.date.issued	2012
dc.identifier.citation	International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 20, p. 51-71 (2012); doi:10.1142/S0218488512400156
dc.identifier.issn	0218-4885
dc.identifier.uri	http://hdl.handle.net/10651/23908
dc.description.sponsorship	This study has been supported by the Spanish Ministry of Science and Technology and by European Fund FEDER (projects TIN2008-06681-C06-04 and TIN2011-24302)
dc.format.extent	p. 51-71
dc.language.iso	eng
dc.relation.ispartof	International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
dc.rights	© World Scientific Publishing Company
dc.source	Scopus
dc.title	Combining adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced problems
dc.type	journal article
dc.identifier.local	20140804
dc.identifier.doi	10.1142/S0218488512400156
dc.relation.projectID	MICYT/TIN2008-06681-C06-04
dc.relation.projectID	MICYT-FEDER/TIN2011-24302

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