메뉴 건너뛰기




Volumn , Issue , 2011, Pages 1154-1162

Logical-shapelets: An expressive primitive for time series classification

Author keywords

Classification; Information gain; Logic expression; Time series

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING;

EID: 80052669927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020587     Document Type: Conference Paper
Times cited : (322)

References (19)
  • 1
    • 80052673282 scopus 로고    scopus 로고
    • BBC SPORT | Cricket | Laws & Equipment. http://news.bbc.co.uk/sport2/ hi/cricket/rules-and-equipment.
    • Cricket | Laws & Equipment
  • 3
    • 84867136666 scopus 로고    scopus 로고
    • Querying and mining of time series data: Experimental comparison of representations and distance measures
    • H. Ding, G. Trajcevski, P. Scheuermann, X. Wang, and E. Keogh. Querying and mining of time series data: experimental comparison of representations and distance measures. Proc. VLDB Endow., 1:1542-1552, 2008.
    • (2008) Proc. VLDB Endow , vol.1 , pp. 1542-1552
    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3    Wang, X.4    Keogh, E.5
  • 6
    • 77957951986 scopus 로고    scopus 로고
    • Prototype optimization for temporarily and spatially distorted time series
    • B. Hartmann, I. Schwab, and N. Link. Prototype optimization for temporarily and spatially distorted time series. In the AAAI Spring Symposia, 2010.
    • (2010) The AAAI Spring Symposia
    • Hartmann, B.1    Schwab, I.2    Link, N.3
  • 8
    • 0042711018 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: A survey and empirical demonstration
    • E. Keogh and S. Kasetty. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. Data Mining and Knowledge Discovery, 7(4):349-371, 2003.
    • (2003) Data Mining and Knowledge Discovery , vol.7 , Issue.4 , pp. 349-371
    • Keogh, E.1    Kasetty, S.2
  • 11
    • 70449645004 scopus 로고    scopus 로고
    • Uwave: Accelerometer-based personalized gesture recognition and its applications
    • J. Liu, L. Zhong, J. Wickramasuriya, and V. Vasudevan. uwave: Accelerometer-based personalized gesture recognition and its applications. Pervasive and Mobile Computing, 5(6):657-675, 2009.
    • (2009) Pervasive and Mobile Computing , vol.5 , Issue.6 , pp. 657-675
    • Liu, J.1    Zhong, L.2    Wickramasuriya, J.3    Vasudevan, V.4
  • 13
    • 78651352893 scopus 로고    scopus 로고
    • Identifying predictive multi-dimensional time series motifs: An application to severe weather prediction
    • A. McGovern, D. Rosendahl, R. Brown, and K. Droegemeier. Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction. Data Mining and Knowledge Discovery, 22:232-258, 2011.
    • (2011) Data Mining and Knowledge Discovery , vol.22 , pp. 232-258
    • McGovern, A.1    Rosendahl, D.2    Brown, R.3    Droegemeier, K.4
  • 14
    • 77954730855 scopus 로고    scopus 로고
    • Fast approximate correlation for massive time-series data
    • A. Mueen, S. Nath, and J. Liu. Fast approximate correlation for massive time-series data. In SIGMOD Conference, pages 171-182, 2010.
    • (2010) SIGMOD Conference , pp. 171-182
    • Mueen, A.1    Nath, S.2    Liu, J.3
  • 18
    • 84873606971 scopus 로고    scopus 로고
    • Extracting interpretable features for early classification on time series
    • Z. Xing, J. Pei, P. Yu, and K. Wang. Extracting interpretable features for early classification on time series. In the Proceedings of SDM, 2011.
    • (2011) The Proceedings of SDM
    • Xing, Z.1    Pei, J.2    Yu, P.3    Wang, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.