K-평균 클러스터링 및 주성분 분석을 활용한 뉴스 앱 이용자 유형 분류
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Do-Gil | - |
dc.date.accessioned | 2022-09-17T05:40:40Z | - |
dc.date.available | 2022-09-17T05:40:40Z | - |
dc.date.created | 2022-09-17 | - |
dc.date.issued | 2022-06-29 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/143696 | - |
dc.publisher | 한국정보과학회 | - |
dc.title | K-평균 클러스터링 및 주성분 분석을 활용한 뉴스 앱 이용자 유형 분류 | - |
dc.title.alternative | Classification of News App User Types Using K-Means Clustering and Principal Component Analysis | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Lee, Do-Gil | - |
dc.identifier.bibliographicCitation | 2022 한국컴퓨터종합학술대회 | - |
dc.relation.isPartOf | 2022 한국컴퓨터종합학술대회 | - |
dc.relation.isPartOf | 2022 한국컴퓨터종합학술대회 논문집 | - |
dc.citation.title | 2022 한국컴퓨터종합학술대회 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | 제주(ICC제주) | - |
dc.citation.conferenceDate | 2022-06-29 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 2 | - |
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