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Volumn , Issue , 2005, Pages 600-607

Automatic feature extraction from large time series

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; EXTRACTION; FEATURE EXTRACTION; METADATA; TIME SERIES;

EID: 84879527782     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-28084-7_71     Document Type: Conference Paper
Times cited : (3)

References (16)
  • 1
    • 84879523393 scopus 로고    scopus 로고
    • Intelligent data analysis: An introduction
    • M. Berthold and D. Hand (Eds.), Springer, Berlin
    • BRADLEY, E. (1999): Intelligent Data Analysis: An Introduction. In: M. Berthold and D. Hand (Eds.): Intelligent Data Analysis: An Introduction. Springer, Berlin.
    • (1999) Intelligent Data Analysis: An Introduction
    • Bradley, E.1
  • 3
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • HOLTE, R. C. (1993): Very simple classification rules perform well on most commonly used datasets. Journal of Machine Learning, 11, 63-90.
    • (1993) Journal of Machine Learning , vol.11 , pp. 63-90
    • Holte, R.C.1
  • 9
    • 23044519289 scopus 로고    scopus 로고
    • The representation race-preprocessing for handling time phenomena
    • Springer, Berlin
    • MORIK, K. (2000): The Representation Race-Preprocessing for Handling Time Phenomena. In: Proc. of the 11th European Conference on Machine Learning. Springer, Berlin, 4-19.
    • (2000) Proc. of the 11th European Conference on Machine Learning , pp. 4-19
    • Morik, K.1
  • 14
    • 0141912837 scopus 로고    scopus 로고
    • University of Dortmund
    • RÜPING, S. (2000): mySVM-Manual. University of Dortmund.
    • (2000) MySVM-Manual
    • Rüping, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.