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Volumn 2005, Issue , 2005, Pages 360-365

Subsequence time series (STS) clustering techniques for meaningful pattern discovery

Author keywords

[No Author keywords available]

Indexed keywords

MEANINGLESS CLUSTER AVERAGES; STAGE CLUSTERING METHOD; SUBSEQUENCE TIME SERIES (STS); SYNTHETIC DATASET;

EID: 33745270754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KIMAS.2005.1427109     Document Type: Conference Paper
Times cited : (9)

References (8)
  • 2
    • 0013064119 scopus 로고    scopus 로고
    • Irvine, CA. Univ. of California, Department of Information and Computer Science
    • Bay, S. UCI Repository of KDD Databases [http://kdd.ics.uci.edu]. Irvine, CA. Univ. of California, Department of Information and Computer Science.
    • UCI Repository of KDD Databases
    • Bay, S.1
  • 7
    • 78149351008 scopus 로고    scopus 로고
    • Clustering of time series subsequences is meaningless: Implications for past and future research
    • Melbourne, FL. Nov
    • Keogh E., Lin J., and Truppel W. "Clustering of Time Series Subsequences is Meaningless: Implications for Past and Future Research," In Proc. of the 3rd IEEE. International Conf. on Data Mining. Melbourne, FL. Nov 2003.
    • (2003) Proc. of the 3rd IEEE. International Conf. on Data Mining
    • Keogh, E.1    Lin, J.2    Truppel, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.