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L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jaegul Choo | - |
| dc.date.accessioned | 2021-08-28T10:44:47Z | - |
| dc.date.available | 2021-08-28T10:44:47Z | - |
| dc.date.created | 2021-04-22 | - |
| dc.date.issued | 2016-12-13 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/25708 | - |
| dc.publisher | IEEE | - |
| dc.title | L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization | - |
| dc.title.alternative | L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Jaegul Choo | - |
| dc.identifier.bibliographicCitation | IEEE International Conference on Data Mining | - |
| dc.relation.isPartOf | IEEE International Conference on Data Mining | - |
| dc.relation.isPartOf | IEEE International Conference on Data Mining | - |
| dc.citation.title | IEEE International Conference on Data Mining | - |
| dc.citation.conferencePlace | SP | - |
| dc.citation.conferenceDate | 2016-12-12 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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