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On Positive-Correlation-Promoting Reducts

cris.lastimport.scopus2024-02-12T20:10:22Z
dc.abstract.enWe introduce a new rough-set-inspired binary feature selection framework, whereby it is preferred to choose attributes which let us distinguish between objects (cases, rows, examples) having different decision values according to the following mechanism: for objects u1 and u2 with decision values dec(u1)=0 and dec(u2)=1, it is preferred to select attributes a such that a(u1)=0 and a(u2)=1, with the secondary option – if the first one is impossible – to select a such that a(u1)=1 and a(u2)=0. We discuss the background for this approach, originally inspired by the needs of the genetic data analysis. We show how to derive the sets of such attributes – called positive-correlation-promoting reducts (PCP reducts in short) – using standard calculations over appropriately modified rough-set-based discernibility matrices. The proposed framework is implemented within the RoughSets R package which is widely used for the data exploration and knowledge discovery purposes.
dc.affiliationUniwersytet Warszawski
dc.conference.countryKuba
dc.conference.datefinish2020-07-03
dc.conference.datestart2020-06-29
dc.conference.placeHavana
dc.conference.seriesInternational Joint Conference on Rough Sets
dc.conference.seriesInternational Joint Conference on Rough Sets
dc.conference.seriesshortcutIJCRS (was RSCTC)
dc.conference.shortcutIJCRS 2020
dc.conference.weblinkhttps://dblp.org/rec/conf/rskt/2020.html
dc.contributor.authorŚlęzak, Dominik
dc.contributor.authorHenzel, Joanna
dc.contributor.authorJanusz, Andrzej
dc.contributor.authorSikora, Marek
dc.date.accessioned2024-01-25T15:45:31Z
dc.date.available2024-01-25T15:45:31Z
dc.date.issued2020
dc.description.financePublikacja bezkosztowa
dc.description.volume12179
dc.identifier.doi10.1007/978-3-030-52705-1_16
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/114731
dc.identifier.weblinkhttps://doi.org/10.1007/978-3-030-52705-1_16
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.pages213--221
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enRough sets
dc.subject.enFeature selection
dc.subject.enDiscernibility
dc.subject.enRule induction
dc.subject.enPositive-correlation-promoting reducts
dc.subject.enRoughSets R package
dc.titleOn Positive-Correlation-Promoting Reducts
dc.typeJournalArticle
dspace.entity.typePublication