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dc.contributor.authorGarcía Vico, A. M. .
dc.contributor.authorCarmona del Jesús, Cristóbal José 
dc.contributor.authorMartín, D. .
dc.contributor.authorGarcía Borroto, M. .
dc.date.accessioned2018-02-05T11:51:26Z
dc.date.available2018-02-05T11:51:26Z
dc.date.issued2018-01
dc.identifier.issn1942-4795
dc.identifier.urihttp://hdl.handle.net/10259/4729
dc.description.abstractEmerging pattern mining is a data mining task that aims to discover discriminative patterns, which can describe emerging behavior with respect to a property of interest. In recent years, the description of datasets has become an interesting field due to the easy acquisition of knowledge by the experts. In this review, we will focus on the descriptive point of view of the task. We collect the existing approaches that have been proposed in the literature and group them together in a taxonomy in order to obtain a general vision of the task. A complete empirical study demonstrates the suitability of the approaches presented. This review also presents future trends and emerging prospects within pattern mining and the benefits of knowledge extracted from emerging patternsen
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness under the project TIN2015-68454-R (FEDER Founds)en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherWileyen
dc.relation.ispartofWIREs Data Mining and Knowledge Discovery. 2018, V. 8, n. 1, e1231en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleAn overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospectsen
dc.typeArtículoes
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttps://doi.org/10.1002/widm.1231
dc.identifier.doi10.1002/widm.1231
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TIN2015-68454-R
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen


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