다차원 색인을 이용한 밀도 기반 클러스터링의 하향식 접근 방법 = A top-down approach for density-based clustering using multidimensional indexes

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dc.contributor.advisor황규영-
dc.contributor.advisorWhang, Kyu-Young-
dc.contributor.author황재준-
dc.contributor.authorHwang, Jae-Joon-
dc.date.accessioned2011-12-13T05:20:52Z-
dc.date.available2011-12-13T05:20:52Z-
dc.date.issued2004-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=237673&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/32868-
dc.description학위논문(박사) - 한국과학기술원 : 전산학전공, 2004.2, [ ix, 75 p. ]-
dc.languagekor-
dc.publisher한국과학기술원-
dc.subject밀도 기반 전지-
dc.subject디스크 기반 클러스터링-
dc.subject데이타베이스-
dc.subject다차원 색인-
dc.subjectMULTIDIMENSIONAL INDEXES-
dc.subjectDENSITY-BASED PRUNING-
dc.subjectDISK-BASED CLUSTERING-
dc.subjectDATABASES-
dc.title다차원 색인을 이용한 밀도 기반 클러스터링의 하향식 접근 방법 = A top-down approach for density-based clustering using multidimensional indexes-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN237673/325007 -
dc.description.department한국과학기술원 : 전산학전공, -
dc.identifier.uid000965437-
dc.contributor.localauthor황규영-
dc.contributor.localauthorWhang, Kyu-Young-
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