메뉴 건너뛰기




Volumn 6322 LNAI, Issue PART 2, 2010, Pages 274-290

On detecting clustered anomalies using SCiForest

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION METHODS; CLOSE PROXIMITY; DENSITY-BASED METHOD; DISTANCE MEASURE; DISTANCE-BASED; EXISTING METHOD; TIME AND SPACE;

EID: 78049398347     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15883-4_18     Document Type: Conference Paper
Times cited : (124)

References (28)
  • 2
    • 67149118905 scopus 로고    scopus 로고
    • Dolphin: An efficient algorithm for mining distance-based outliers in very large datasets
    • Angiulli, F., Fassetti, F.: Dolphin: An efficient algorithm for mining distance-based outliers in very large datasets. ACM Trans. Knowl. Discov. Data 3(1), 1-57 (2009)
    • (2009) ACM Trans. Knowl. Discov. Data , vol.3 , Issue.1 , pp. 1-57
    • Angiulli, F.1    Fassetti, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.