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Volumn 3816 LNCS, Issue , 2005, Pages 547-552

Distance-based outliers in sequences

Author keywords

Novelty detection; Outlier detection; Sequence mining; Time series

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; DISTRIBUTED COMPUTER SYSTEMS; FAULT TOLERANT COMPUTER SYSTEMS; INFORMATION RETRIEVAL; INTERNET;

EID: 33744917038     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11604655_61     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 4
    • 0002948319 scopus 로고    scopus 로고
    • Algorithms for mining distance-based outliers in large datasets
    • E. M. Knorr, R. T. Ng, "Algorithms for Mining Distance-based Outliers in Large Datasets", Proc. VLDB Conf., 1998, pp. 392 - 403.
    • (1998) Proc. VLDB Conf. , pp. 392-403
    • Knorr, E.M.1    Ng, R.T.2
  • 5
    • 70350649248 scopus 로고    scopus 로고
    • Online novelty detection on temporal sequences
    • Springer-Verlag
    • J. Ma, S. Perkins, "Online Novelty Detection on Temporal Sequences", Proc. Int. Conf. Know. Discovery Data Mining, Springer-Verlag, pp. 275 - 295, 2003.
    • (2003) Proc. Int. Conf. Know. Discovery Data Mining , pp. 275-295
    • Ma, J.1    Perkins, S.2
  • 6
    • 0039845384 scopus 로고    scopus 로고
    • Efficient algorithms for mining outliers from large datasets
    • ACM Press
    • S. Ramaswamy, R. Rastogi, K. Shim, "Efficient Algorithms for Mining Outliers from Large Datasets", Proc. SIGMOD2000, ACM Press, pp. 162-172, 2000.
    • (2000) Proc. SIGMOD2000 , pp. 162-172
    • Ramaswamy, S.1    Rastogi, R.2    Shim, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.