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Volumn , Issue , 2009, Pages

A time series similar pattern matching algorithm based on singularity event features

Author keywords

Knowledge discovery; Pattern matching; Singularity event; Time series

Indexed keywords

COMPUTING COST; DYNAMIC TIME WARPING; EVENT SEQUENCE; FEATURE EXTRACTION METHODS; FEATURE LOCATION; INFERIOR QUALITY; KNOWLEDGE DISCOVERY; MULTI-SCALE FEATURES; SIMILAR PATTERN; SIMILARITY MEASURE; WAVELET SINGULARITY;

EID: 77949649591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIECS.2009.5366014     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 1
    • 0018106375 scopus 로고
    • Considerations in dynamic time warping algorithms for discrete word recognition
    • L. Rabiner, A. Rosenberg and S. Levinson, "Considerations in dynamic time warping algorithms for discrete word recognition", IEEE Trans Acoustics Speech Signal Process, vol. 26, no. 12, pp. 575-582, 1978.
    • (1978) IEEE Trans Acoustics Speech Signal Process , vol.26 , Issue.12 , pp. 575-582
    • Rabiner, L.1    Rosenberg, A.2    Levinson, S.3
  • 5
    • 0242686220 scopus 로고    scopus 로고
    • Search for patterns in compressed time series
    • K.B. Pratt and E. Fink, "Search for patterns in compressed time series", Int'1 Journal of Image and Graphics, vol. 12, no. 1, pp. 89-106, 2002.
    • (2002) Int'1 Journal of Image and Graphics , vol.12 , Issue.1 , pp. 89-106
    • Pratt, K.B.1    Fink, E.2
  • 6
    • 0026686049 scopus 로고
    • Singularity detection and processing with wavelet
    • S. Mallat and W.L. Hang, "Singularity detection and processing with wavelet", IEEE Trans on Information Theory, vol.38, no. 22, pp. 617-643, 1992.
    • (1992) IEEE Trans on Information Theory , vol.38 , Issue.22 , pp. 617-643
    • Mallat, S.1    Hang, W.L.2
  • 7
    • 77949586661 scopus 로고    scopus 로고
    • E. Keogh, T. Folias, The UCR Time Series Data Mining archive. [http://www.cs.ucr.edu/~eamonn/TSDMA/index.html] , Riverside CA. 2002. University of California Computer Science & Engineering Department,
    • E. Keogh, T. Folias, The UCR Time Series Data Mining archive. [http://www.cs.ucr.edu/~eamonn/TSDMA/index.html] , Riverside CA. 2002. University of California Computer Science & Engineering Department,


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.