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Volumn , Issue , 2005, Pages 571-575

Knowledge discovery from heterogeneous dynamic systems using change-point correlations

Author keywords

Change point detection; Hidden dependency; Singular spectrum analysis; Time series

Indexed keywords

CONTINUOUS TIME SYSTEMS; DATA MINING; MATHEMATICAL TRANSFORMATIONS; PROBABILITY DENSITY FUNCTION; SPECTRUM ANALYSIS; TIME SERIES;

EID: 53149151512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.63     Document Type: Conference Paper
Times cited : (82)

References (13)
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    • Kadambe, S.1    Boudreaux-Bartels, G.2
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    • Clustering of time series subsequences is meaningless: Implications for previous and future research
    • IEEE
    • E. Keogh, J. Lin, and W. Truppel. Clustering of time series subsequences is meaningless: Implications for previous and future research. In Proc. IEEE International Conference on Data Mining. IEEE, 2003.
    • (2003) Proc. IEEE International Conference on Data Mining
    • Keogh, E.1    Lin, J.2    Truppel, W.3
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    • Anomaly detection in IP networks
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    • Thottan, M.1    Ji, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.