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대용량 자료 분석을 위한 이상치 탐지기법 연구 : A Study on Outlier Detection Techniques for a Large Dataset

DC Field Value Language
dc.contributor.advisor강석호-
dc.contributor.author김승-
dc.date.accessioned2019-07-10T03:40:11Z-
dc.date.available2019-07-10T03:40:11Z-
dc.date.issued2011-02-
dc.identifier.other000000028919-
dc.identifier.urihttps://hdl.handle.net/10371/158694-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000028919ko_KR
dc.description학위논문 (박사)-- 서울대학교 대학원 : 산업공학과, 2011.2. 강석호.-
dc.format.extentviii, 87 장-
dc.language.isokor-
dc.publisher서울대학교 대학원-
dc.subject데이터베이스 엑티비티 모니터-
dc.subject밀도기반 이상치 탐지-
dc.subject침입탐지-
dc.subjectkd-트리-
dc.subjectk-인접이웃탐색-
dc.subjectDatabase activity monitor-
dc.subjectDensity-based Outlier Detection-
dc.subjectIntrusion Detection-
dc.subjectkd-tree-
dc.subjectk-nearest neighbors search-
dc.title대용량 자료 분석을 위한 이상치 탐지기법 연구-
dc.title.alternativeA Study on Outlier Detection Techniques for a Large Dataset-
dc.typeThesis-
dc.typeDissertation-
dc.description.degreeDoctor-
dc.contributor.affiliation산업공학과-
dc.date.awarded2011-02-
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