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dc.contributor.authorSkrypnyk, Iryna
dc.date.accessioned2012-01-11T11:55:00Z
dc.date.available2012-01-11T11:55:00Z
dc.date.issued2011
dc.identifier.isbn978-951-39-4608-1
dc.identifier.otheroai:jykdok.linneanet.fi:1191892
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/37190
dc.format.extent232 sivua
dc.language.isoeng
dc.publisherUniversity of Jyväskylä
dc.relation.ispartofseriesJyväskylä studies in computing
dc.relation.isversionofISBN 978-951-39-4607-4
dc.rightsIn Copyright
dc.subject.otherData mining
dc.subject.otherfeature relevance
dc.subject.otherfeature selection
dc.subject.otherfeature weighting
dc.subject.otherclassification
dc.subject.otherclustering
dc.subject.otherensemble learning
dc.subject.otherknowledge discovery
dc.subject.othermachine learning
dc.titleUnstable feature relevance in classification tasks
dc.typedoctoral thesis
dc.identifier.urnURN:ISBN:978-951-39-4608-1
dc.type.dcmitypeTexten
dc.type.ontasotVäitöskirjafi
dc.type.ontasotDoctoral dissertationen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietojenkäsittelytiedefi
dc.type.coarhttp://purl.org/coar/resource_type/c_db06
dc.relation.issn1456-5390
dc.relation.numberinseries152
dc.rights.accesslevelopenAccess
dc.type.publicationdoctoralThesis
dc.subject.ysotiedonhallinta
dc.subject.ysotiedonlouhinta
dc.subject.ysotiedonhaku
dc.subject.ysotietokannat
dc.subject.ysoaineistot
dc.subject.ysoluokitus
dc.subject.ysoanalyysi
dc.subject.ysorelevanssi
dc.subject.ysokoneoppiminen
dc.subject.ysotekoäly
dc.rights.urlhttps://rightsstatements.org/page/InC/1.0/


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