DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김범영 | ko |
dc.contributor.author | 김선동 | ko |
dc.contributor.author | 김세진 | ko |
dc.contributor.author | 이재길 | ko |
dc.date.accessioned | 2020-11-05T05:55:29Z | - |
dc.date.available | 2020-11-05T05:55:29Z | - |
dc.date.created | 2020-11-04 | - |
dc.date.issued | 2019-12-19 | - |
dc.identifier.citation | 2019 한국소프트웨어종합학술대회 Korea Software Congress 2019, pp.1293 - 1295 | - |
dc.identifier.uri | http://hdl.handle.net/10203/277131 | - |
dc.language | Korean | - |
dc.publisher | 한국정보과학회 | - |
dc.title | 거시적 동선 정보에 기반한 고객 재방문 예측 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1293 | - |
dc.citation.endingpage | 1295 | - |
dc.citation.publicationname | 2019 한국소프트웨어종합학술대회 Korea Software Congress 2019 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 평창 휘닉스파크 | - |
dc.contributor.localauthor | 이재길 | - |
dc.contributor.nonIdAuthor | 김범영 | - |
dc.contributor.nonIdAuthor | 김선동 | - |
dc.contributor.nonIdAuthor | 김세진 | - |
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