Unstable feature relevance in classification tasks

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dc.contributor.author Skrypnyk, Iryna
dc.date.accessioned 2012-01-11T11:55:00Z
dc.date.available 2012-01-11T11:55:00Z
dc.date.issued 2011
dc.identifier.isbn 978-951-39-4608-1
dc.identifier.uri http://urn.fi/URN:ISBN:978-951-39-4608-1 en
dc.identifier.uri http://hdl.handle.net/123456789/37190
dc.format.extent 232 s.
dc.language.iso eng
dc.publisher University of Jyväskylä
dc.relation.ispartofseries Jyväskylä studies in computing;1456-5390 ;152.
dc.relation.isversionof ISBN 978-951-39-4607-4
dc.subject.other feature relevance
dc.subject.other feature selection
dc.subject.other feature weighting
dc.subject.other classification
dc.subject.other clustering
dc.subject.other ensemble learning
dc.subject.other knowledge discovery
dc.subject.other machine learning
dc.title Unstable feature relevance in classification tasks
dc.type Diss. fi
dc.identifier.urn URN:ISBN:978-951-39-4608-1
dc.subject.ysa Data mining
dc.subject.ysa tiedonhallinta
dc.subject.ysa tiedonlouhinta
dc.subject.ysa tiedonhaku
dc.subject.ysa tietokannat
dc.subject.ysa aineistot
dc.subject.ysa luokitus
dc.subject.ysa analyysi
dc.subject.ysa relevanssi
dc.subject.ysa koneoppiminen
dc.subject.ysa tekoäly
dc.subject.kota 113
dc.type.dcmitype Text en
dc.type.ontasot Väitöskirja fi
dc.type.ontasot Doctoral dissertation en
dc.contributor.tiedekunta Informaatioteknologian tiedekunta fi
dc.contributor.tiedekunta Faculty of Information Technology en
dc.contributor.yliopisto University of Jyväskylä en
dc.contributor.yliopisto Jyväskylän yliopisto fi

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