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Volumn 2, Issue , 2008, Pages 506-517

Theoretical analysis of subsequence time-series clustering from a frequency-analysis viewpoint

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DATA MINING; TIME SERIES; TIME SERIES ANALYSIS;

EID: 52649123759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972788.46     Document Type: Conference Paper
Times cited : (11)

References (15)
  • 1
    • 33750343311 scopus 로고    scopus 로고
    • J. R. Chen. Making subsequence time series clustering meaningful. In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM 2005), pages 114-121, Washington, DC, USA, 2005. IEEE Computer Society.
    • J. R. Chen. Making subsequence time series clustering meaningful. In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM 2005), pages 114-121, Washington, DC, USA, 2005. IEEE Computer Society.
  • 2
    • 52649179212 scopus 로고    scopus 로고
    • Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    • B. Chiu, E. Keogh, and S. Lonardi. Probabilistic discovery of time series motifs. In Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003.
    • (2003) Probabilistic discovery of time series motifs
    • Chiu, B.1    Keogh, E.2    Lonardi, S.3
  • 5
    • 52649134999 scopus 로고    scopus 로고
    • G. Das, K. I. Lin, H. Mannila, G. Renganathan, and P. Smyth. Rule discovery from time series. In Proceedings of the 4th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 16-22, 1998.
    • G. Das, K. I. Lin, H. Mannila, G. Renganathan, and P. Smyth. Rule discovery from time series. In Proceedings of the 4th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 16-22, 1998.
  • 9
    • 52649124219 scopus 로고    scopus 로고
    • E. Keogh. The UCR Time Series Data Mining Archive [http://www.cs.ucr. edu/~eamonn/TSDMA/index.html]. Riverside CA. University of California. Computer Science & Engineering Department, 2006.
    • E. Keogh. The UCR Time Series Data Mining Archive [http://www.cs.ucr. edu/~eamonn/TSDMA/index.html]. Riverside CA. University of California. Computer Science & Engineering Department, 2006.
  • 13
    • 33746632543 scopus 로고    scopus 로고
    • Unfolding preprocessing for meaningful time series clustering
    • G. Simon, J. Lee, and M. Verleysen. Unfolding preprocessing for meaningful time series clustering. Neural Networks, 19:877-888, 2006.
    • (2006) Neural Networks , vol.19 , pp. 877-888
    • Simon, G.1    Lee, J.2    Verleysen, M.3
  • 15
    • 0032762144 scopus 로고    scopus 로고
    • An overlap invariant entropy measure of 3d medical image alignment
    • C. Studholme, D. L. G. Hill, and D. J. Hawkes. An overlap invariant entropy measure of 3d medical image alignment. Pattern Recognition, 32:71-86, 1999.
    • (1999) Pattern Recognition , vol.32 , pp. 71-86
    • Studholme, C.1    Hill, D.L.G.2    Hawkes, D.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.