LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification

dc.creatorMILTON GARCÍA BORROTO
dc.creatorJOSE FRANCISCO MARTINEZ TRINIDAD
dc.creatorJESUS ARIEL CARRASCO OCHOA
dc.creatorMIGUEL ANGEL MEDINA PEREZ
dc.date2010
dc.date.accessioned2023-07-25T16:23:35Z
dc.date.available2023-07-25T16:23:35Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1402
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806598
dc.descriptionIn this paper, we introduce an efficient algorithm for mining discriminative regularities on databases with mixed and incomplete data. Unlike previous methods, our algorithm does not apply an a priori discretization on numerical features; it extracts regularities from a set of diverse decision trees, induced with a special procedure. Experimental results show that a classifier based on the regularities obtained by our algorithm attains higher classification accuracy, using fewer discriminative regularities than those obtained by previous pattern-based classifiers. Additionally, we show that our classifier is competitive with traditional and state-of-the-art classifiers.
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Ltd.
dc.relationcitation:García-Borroto, M., et al., (2010). LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification, Pattern Recognition, (43): 3025–3034
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Discriminative regularities/Discriminative regularities
dc.subjectinfo:eu-repo/classification/Emerging patterns/Emerging patterns
dc.subjectinfo:eu-repo/classification/Mixed incomplete data/Mixed incomplete data
dc.subjectinfo:eu-repo/classification/Comprehensible classifiers/Comprehensible classifiers
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleLCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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