On the feature extraction in discrete space

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dc.authorid0000-0001-5838-4615
dc.contributor.authorYıldız, Olcay Taneren_US
dc.date.accessioned2015-01-15T23:02:51Z
dc.date.available2015-01-15T23:02:51Z
dc.date.issued2014-05
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractIn many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values of k discrete attributes exhaustively, (ii) modify the well-known decision tree and rule induction classifiers (ID3, Quilan, 1986 [1] and Ripper, Cohen, 1995 [2]) using these orderings as the new attributes. Our simulation results on 15 datasets from UCI repository [3] show that the novel classifiers perform better than the proper ones in terms of error rate and complexity.en_US
dc.description.sponsorshipThis work has been supported by the Turkish Scientific Technical Research Council (TUBITAK) EEEAG 107E127en_US
dc.description.versionPublisher's Versionen_US
dc.description.versionAuthor Pre-Printen_US
dc.identifier.citationYıldız, O. T. (2014). On the feature extraction in discrete space. Pattern Recognition, 47(5), 1988-1993. doi:10.1016/j.patcog.2013.11.023en_US
dc.identifier.doi10.1016/j.patcog.2013.11.023
dc.identifier.endpage1993
dc.identifier.issn0031-3203
dc.identifier.issn1873-5142
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84893640917en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage1988
dc.identifier.urihttps://hdl.handle.net/11729/535
dc.identifier.urihttp://dx.doi.org/10.1016/j.patcog.2013.11.023
dc.identifier.volume47
dc.identifier.wosWOS:000331667400017en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorYıldız, Olcay Taneren_US
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofPattern Recognitionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFeature extractionen_US
dc.subjectDiscrete spaceen_US
dc.subjectDecision tree inductionen_US
dc.subjectRule inductionen_US
dc.subjectDecision treesen_US
dc.titleOn the feature extraction in discrete spaceen_US
dc.typeArticleen_US

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