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Volumn 2, Issue , 2008, Pages 429-433

Clustering-based outlier detection method

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY LOGIC; FUZZY SYSTEMS;

EID: 58049218655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.244     Document Type: Conference Paper
Times cited : (73)

References (16)
  • 4
    • 77952380096 scopus 로고    scopus 로고
    • Mining distance based outliers in near linear time with randomization and a simple pruning rule
    • Bay, S. D., & Schwabacher, M.:Mining distance based outliers in near linear time with randomization and a simple pruning rule. In: Proceedings of KDD03.2003
    • (2003) Proceedings of KDD03
    • Bay, S.D.1    Schwabacher, M.2
  • 8
    • 0142120485 scopus 로고    scopus 로고
    • Detecting pattern-based outliers
    • Hu,T. , Sung,S. : Detecting pattern-based outliers. Pattern Recognition Letters. 2003, pp. 3059-3068
    • (2003) Pattern Recognition Letters , pp. 3059-3068
    • Hu, T.1    Sung, S.2
  • 11
    • 0037410488 scopus 로고    scopus 로고
    • Discovering cluster-based local outliers
    • He,Z. , Xu,X., Deng,S. : Discovering cluster-based local outliers Pattern Recognition Letters. 2003, pp.1651-1660
    • (2003) Pattern Recognition Letters , pp. 1651-1660
    • He, Z.1    Xu, X.2    Deng, S.3
  • 13


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.