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Volumn 4693 LNAI, Issue PART 2, 2007, Pages 1066-1072

A piecewise linear representation method of time series based on feature points

Author keywords

Feature points; Piecewise linear representation; Time series

Indexed keywords

ASSOCIATION RULES; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; INDEXING (OF INFORMATION); PIECEWISE LINEAR TECHNIQUES; TIME SERIES ANALYSIS;

EID: 38049007979     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74827-4_133     Document Type: Conference Paper
Times cited : (14)

References (15)
  • 6
    • 38049029456 scopus 로고    scopus 로고
    • Keogh, E., Chu, S., Hart. D., et al.: Segmenting Time Series: A Survey and Novel Approch.[M]. Data Mining in Time Series Databases. World Scientific Publishing Company, Singapore (2003)
    • Keogh, E., Chu, S., Hart. D., et al.: Segmenting Time Series: A Survey and Novel Approch.[M]. Data Mining in Time Series Databases. World Scientific Publishing Company, Singapore (2003)
  • 7
    • 85040241330 scopus 로고    scopus 로고
    • Dimensionality Reduction for Fast Similarity Search in Large Time Series Databses[J]
    • Keogh, E., Chakrabarti, K., Pazzani, M.J., et al.: Dimensionality Reduction for Fast Similarity Search in Large Time Series Databses[J]. Knowledge and Information Systems 3(3), 263-286 (2001)
    • (2001) Knowledge and Information Systems , vol.3 , Issue.3 , pp. 263-286
    • Keogh, E.1    Chakrabarti, K.2    Pazzani, M.J.3
  • 8
    • 0008693810 scopus 로고    scopus 로고
    • th International Conference on Very Large Databases[C], pp. 385-394, Morgan Kaufmann Publishers Inc., San Francisco (2000)
    • th International Conference on Very Large Databases[C], pp. 385-394, Morgan Kaufmann Publishers Inc., San Francisco (2000)
  • 12
    • 85150810448 scopus 로고    scopus 로고
    • An enhanced representation of time series which allows fast and accurate classification, clustering, and relevance feedback
    • AAAI Press, Stanford, California, USA
    • Keogh, E., Pazzani, M.: An enhanced representation of time series which allows fast and accurate classification, clustering, and relevance feedback. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, pp. 239-241. AAAI Press, Stanford, California, USA (1998)
    • (1998) Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining , pp. 239-241
    • Keogh, E.1    Pazzani, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.