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Volumn , Issue , 2004, Pages 433-437

A structure-adaptive piece-wise linear segments representation for time series

Author keywords

Clustering; Piece wise linear segments; Similarity; Time series

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; DATA REDUCTION; FREQUENCY DOMAIN ANALYSIS; FUNCTIONS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; SENSITIVITY ANALYSIS;

EID: 16244396765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (4)
  • 2
    • 0010226743 scopus 로고    scopus 로고
    • A fast and robust method for pattern matching in time series databases
    • Keogh. E. "A Fast and Robust Method for Pattern Matching in Time Series Databases". In WUSS, 1997
    • (1997) WUSS
    • Keogh, E.1
  • 3
    • 0033871047 scopus 로고    scopus 로고
    • Landmarks: A new model for similarity-based pattern querying in time series databases
    • C. Perng, H. Wang, S. Zhang, and D. parker, "landmarks: a New Model for Similarity-Based Pattern Querying in time series Databases," IEEE Conf. on Data engineering, pp. 33-44, 2000
    • (2000) IEEE Conf. on Data Engineering , pp. 33-44
    • Perng, C.1    Wang, H.2    Zhang, S.3    Parker, D.4
  • 4
    • 0036586395 scopus 로고    scopus 로고
    • Bayesian posteriori model selection for text clustering
    • in Chinese
    • Jiang Ning, Shi Zhong-zhi. Bayesian posteriori model selection for text clustering. Journal of Computer Research and Development, 2002, 39(5) .in Chinese.
    • (2002) Journal of Computer Research and Development , vol.39 , Issue.5
    • Jiang, N.1    Shi, Z.-Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.