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dc.contributor.author리아 사디타-
dc.contributor.author김형년-
dc.contributor.author박지형-
dc.date.accessioned2024-01-20T13:02:23Z-
dc.date.available2024-01-20T13:02:23Z-
dc.date.created2021-09-06-
dc.date.issued2013-02-
dc.identifier.issn2383-6318-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/128389-
dc.description.abstractPeople try to keep a diary to perpetuate their memories and experiences even in PC environment. However, as like a life-log system, we need to consider several issues related to activity capturing and data management. Moreover, the PC usage logs are composed of multivariate, categorical, and temporal events. Our goal, in this paper, is to generate a PC diary based on the abstract and meaningful information of a user’s PC activities. Therefore, we propose a temporal clustering method to differentiate user activities and extract representative logs from the data stream. After implementing a real-time process of extracting PC usage logs, we investigated our clustering method and demonstrated a process of diary generation.-
dc.languageEnglish-
dc.publisher한국정보과학회-
dc.title퍼스널 컴퓨팅 환경에서 다이어리 생성을 위한 시계열 군집화 방법-
dc.title.alternativeTemporal Clustering for Generating Activity-based Diary in PC Environment-
dc.typeArticle-
dc.description.journalClass2-
dc.identifier.bibliographicCitation정보과학회 컴퓨팅의 실제 논문지, v.19, no.2, pp.100 - 104-
dc.citation.title정보과학회 컴퓨팅의 실제 논문지-
dc.citation.volume19-
dc.citation.number2-
dc.citation.startPage100-
dc.citation.endPage104-
dc.description.journalRegisteredClasskci-
dc.identifier.kciidART001741751-
dc.subject.keywordAuthor시계열 군집화-
dc.subject.keywordAuthor라이프로그-
dc.subject.keywordAuthor문서 생성-
dc.subject.keywordAuthorPC 사용 로그-
dc.subject.keywordAuthortemporal clustering-
dc.subject.keywordAuthorlife-log-
dc.subject.keywordAuthordocument generation-
dc.subject.keywordAuthorPC usage log-
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KIST Article > 2013
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