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Volumn 49, Issue , 2009, Pages 1-9

Comparing time series through event clustering

Author keywords

Data mining; Event; Posturography; Stabilometry; Time series

Indexed keywords


EID: 58149121276     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-540-85861-4_1     Document Type: Conference Paper
Times cited : (4)

References (25)
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    • Lee, S., Chun, S., Kim, D., Lee, J., Chung, C.: Similarity Search for Multidimensional Data Sequences. In: ICDE, San Diego, USA, pp. 599-610 (2000)
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    • 0037339886 scopus 로고    scopus 로고
    • A New Temporal Pattern Identification Method for Characterization and Prediction of Complex Time Series Events
    • Povinelli, R., Feng, X.: A New Temporal Pattern Identification Method for Characterization and Prediction of Complex Time Series Events. IEEE Transactions on Knowledge and Data Engineering 15(2) (2003)
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    • Povinelli, R.1    Feng, X.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.