| 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.rights | openAccess | fi |
| 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 |
