dc.creatorRAUDEL HERNANDEZ LEON
dc.creatorJesús Ariel Carrasco Ochoa
dc.creatorJosé Francisco Martínez Trinidad
dc.date2012
dc.date.accessioned2023-07-25T16:24:26Z
dc.date.available2023-07-25T16:24:26Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1842
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807033
dc.descriptionAssociation rule mining and classification are important tasks in data mining. Using association rules has proved to be a good approach for classification. In this paper, we propose an accurate classifier based on class association rules (CARs), called CAR-IC, which introduces a new pruning strategy for mining CARs, which allows building specific rules with high confidence. Moreover, we propose and prove three propositions that support the use of a confidence threshold for computing rules that avoids ambiguity at the classification stage. This paper also presents a new way for ordering the set of CARs based on rule size and confidence. Finally, we define a new coverage strategy, which reduces the number of non-covered unseen-transactions during the classification stage. Results over several datasets show that CAR-IC beats the best classifiers based on CARs reported in the literature.
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Ltd.
dc.relationcitation:Hernández-León, R., et al., (2012). Classification based on specific rules and inexact coverage, Expert Systems with Applications, (39): 11203–11211
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Data mining/Data mining
dc.subjectinfo:eu-repo/classification/Supervised classification/Supervised classification
dc.subjectinfo:eu-repo/classification/Class association rules/Class association rules
dc.subjectinfo:eu-repo/classification/Association rule mining/Association rule mining
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.titleClassification based on specific rules and inexact coverage
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


Este ítem pertenece a la siguiente institución