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Volumn , Issue , 2012, Pages 58-63

Time-series mining in a psychological domain

Author keywords

FAP; Microworld; Social interaction; Time series mining

Indexed keywords

ARTIFICIAL AGENTS; BEHAVIORAL DATA; BEHAVIORAL SCIENCE; DENDROGRAMS; DISTANCE MATRICES; EXPERIMENTAL RESEARCH; FAP; HUMAN BEHAVIORS; HUMAN FACTORS RESEARCH; INFORMATICS; LOG FILE; MEDICAL TREATMENT; MICROWORLD; NATURAL PHENOMENA; PSYCHOLOGICAL RESEARCH; SIMILARITY MEASURE; SOCIAL INTERACTIONS; STOCK MARKET ANALYSIS; TIME-SERIES MINING;

EID: 84867364690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2371316.2371328     Document Type: Conference Paper
Times cited : (15)

References (18)
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    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3    Wang, X.4    Keogh, E.5
  • 12
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    • Exact indexing of dynamic time warping
    • E. J. Keogh and C. A. Ratanamahatana. Exact indexing of dynamic time warping. Knowl. Inf. Syst., 7(3), 2005, pp. 358-386.
    • (2005) Knowl. Inf. Syst. , vol.7 , Issue.3 , pp. 358-386
    • Keogh, E.J.1    Ratanamahatana, C.A.2
  • 13
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    • Discovering similar multidimensional trajectories
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    • An efficient and accurate method for evaluating time-series similarity
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.