메뉴 건너뛰기




Volumn , Issue , 2010, Pages 665-676

Multiresolution motif discovery in time series

Author keywords

Frequent patterns; Motif discovery; Multiresolution; Time series

Indexed keywords

TIME SERIES;

EID: 80155203953     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972801.73     Document Type: Conference Paper
Times cited : (70)

References (23)
  • 4
    • 6344252433 scopus 로고    scopus 로고
    • PERUSE: An unsupervised algorithm for finding recurring patterns in time series
    • Oates, T., PERUSE: An Unsupervised Algorithm for Finding Recurring Patterns in Time Series, Second IEEE International Conference on Data Mining (2002), pp. 330.
    • (2002) Second IEEE International Conference on Data Mining , pp. 330
    • Oates, T.1
  • 10
    • 15544364892 scopus 로고    scopus 로고
    • Discovery of time-series motif from multi-dimensional data based on MDL principle
    • Tanaka, Y., Iwamoto, K., and Uehara, K. 2005. Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle, in Machine Learning 58, (2005), pp. 269-300.
    • (2005) Machine Learning , vol.58 , Issue.2005 , pp. 269-300
    • Tanaka, Y.1    Iwamoto, K.2    Uehara, K.3
  • 16
  • 19
    • 84867136666 scopus 로고    scopus 로고
    • Querying and mining of time series data: Experimental comparison of representations and distance measures
    • Ding, H., Trajcevski, G., Scheuermann, P., Wang, X., and Keogh, E., Querying and mining of time series data: experimental comparison of representations and distance measures, in Proceedings of the VLDB Endowment (2008), pp. 1542-1552.
    • (2008) Proceedings of the VLDB Endowment , pp. 1542-1552
    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3    Wang, X.4    Keogh, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.