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.issn |
1456-5390 |
|
dc.identifier.other |
oai:jykdok.linneanet.fi:1191892 |
|
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 sivua |
|
dc.language.iso |
eng |
|
dc.publisher |
University of Jyväskylä |
|
dc.relation.ispartofseries |
Jyväskylä studies in computing 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 |
dc.contributor.oppiaine |
tietojenkäsittelytiede |
fi |