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Volumn 24, Issue 16, 2003, Pages 3059-3068

Detecting pattern-based outliers

Author keywords

Clustering; Complete spatial randomness; Outlier detection; Regular spacing

Indexed keywords

DATA REDUCTION; PATTERN RECOGNITION SYSTEMS;

EID: 0142120485     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(03)00165-X     Document Type: Article
Times cited : (42)

References (14)
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    • 0034133513 scopus 로고    scopus 로고
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    • Knorr E.M. Ng R.T. Tucakov V. Distance-based outliers: Algorithms and applications Very Large Data Bases J. 8 3 2000 237-253
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    • Knorr, E.M.1    Ng, R.T.2    Tucakov, V.3
  • 10
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    • Murphy, P.M., Aha, D.W., 1994. UCI Repository of Machine Learning Databases. Department of Information and Computer Science, University of California at Irvine, http://www.ics.uci.edu/mlearn/MLRepository.html
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    • Murphy, P.M.1    Aha, D.W.2
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    • CLARANS: A method for clustering objects for spatial data mining
    • Ng R. Han J. CLARANS: A method for clustering objects for spatial data mining IEEE Trans. Knowledge Data Eng. 14 5 2002 1003-1016
    • (2002) IEEE Trans. Knowledge Data Eng. , vol.14 , Issue.5 , pp. 1003-1016
    • Ng, R.1    Han, J.2
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    • The non-stationary Poisson process: A fully non-parametric model for a new approach of supervised classification
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.