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Volumn 2005, Issue , 2005, Pages

A non-parametric outlier mining algorithm for detecting anomalies in construction equipment database

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONTRACTS; DATABASE SYSTEMS; MANAGERS; PARAMETER ESTIMATION; PROBLEM SOLVING; PROJECT MANAGEMENT;

EID: 33748956818     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (10)
  • 5
    • 77957137687 scopus 로고    scopus 로고
    • A practical application of a robust multivariate outlier detection method
    • American Statistical Association
    • Franklin, S., and Brodeur, M. 1997. A practical application of a robust multivariate outlier detection method. Proceedings of the Survey Research Methods Section, American Statistical Association, pp. 175
    • (1997) Proceedings of the Survey Research Methods Section , pp. 175
    • Franklin, S.1    Brodeur, M.2
  • 7
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • New York, USA
    • Knorr, E., and Ng, R. 1998. Algorithms for mining distance-based outliers in large datasets. Proceedings of Very Large Data Bases Conference, New York, USA
    • (1998) Proceedings of Very Large Data Bases Conference
    • Knorr, E.1    Ng, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.