General Set Covering for Feature Selection in Data Mining
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhengyu Ma | - |
dc.contributor.author | 류홍서 | - |
dc.date.accessioned | 2021-09-07T01:15:10Z | - |
dc.date.available | 2021-09-07T01:15:10Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 2287-2043 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/109787 | - |
dc.description.abstract | Set covering has widely been accepted as a staple tool for feature selection in data mining. We present a generalized version of this classical combinatorial optimization model to make it better suited for the purpose and propose a surrogate relaxation-based procedure for its meta-heuristic solution. Mathematically and also numerically with experiments on 25 set covering instances, we demonstrate the utility of the proposed model and the proposed solution method. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | 한국경영과학회 | - |
dc.title | General Set Covering for Feature Selection in Data Mining | - |
dc.title.alternative | General Set Covering for Feature Selection in Data Mining | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 류홍서 | - |
dc.identifier.doi | 10.7737/MSFE.2012.18.2.013 | - |
dc.identifier.bibliographicCitation | MSFE, v.18, no.2, pp.13 - 17 | - |
dc.relation.isPartOf | MSFE | - |
dc.citation.title | MSFE | - |
dc.citation.volume | 18 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 13 | - |
dc.citation.endPage | 17 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001714417 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | General Set Covering | - |
dc.subject.keywordAuthor | Feature Selection | - |
dc.subject.keywordAuthor | Surrogate Relaxation | - |
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