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Volumn 18, Issue 2, 2006, Pages 231-244

Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis

Author keywords

data mining; feature extraction or construction; Time series analysis

Indexed keywords


EID: 85008015696     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2006.30     Document Type: Article
Times cited : (64)

References (23)
  • 2
  • 5
    • 0038294452 scopus 로고    scopus 로고
    • Harr Wavelets for Efficient Similarity Search of Time-Series: with and without Time Warping
    • F.K. Chan, A.W. Fu, and C. Yu, “Harr Wavelets for Efficient Similarity Search of Time-Series: with and without Time Warping,” IEEE Trans. Knowledge and Data Eng., vol. 15, no. 3, pp. 686–705, 2003.
    • (2003) IEEE Trans. Knowledge and Data Eng. , vol.15 , Issue.3 , pp. 686-705
    • Chan, F.K.1    Fu, A.W.2    Yu, C.3
  • 10
    • 26944459038 scopus 로고    scopus 로고
    • Mining Frequent Patterns in Data Streams at Multiple Time Granularities
    • H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha, eds., AAAI/MIT Press
    • C. Giannella, J. Han, J. Pei, X. Yan, and P.S. Yu, “Mining Frequent Patterns in Data Streams at Multiple Time Granularities,” Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha, eds., AAAI/MIT Press, 2003.
    • (2003) Data Mining: Next Generation Challenges and Future Directions
    • Giannella, C.1    Han, J.2    Pei, J.3    Yan, X.4    Yu, P.S.5
  • 13
    • 85040241330 scopus 로고    scopus 로고
    • Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
    • E. Keogh, K. Chakrabati, M. Pazzani, and S. Mehrota, “Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases,” Knowledge and Information Systems, vol. 3, no. 3, pp. 263–286, 2000.
    • (2000) Knowledge and Information Systems , vol.3 , Issue.3 , pp. 263-286
    • Keogh, E.1    Chakrabati, K.2    Pazzani, M.3    Mehrota, S.4
  • 16
    • 85150810448 scopus 로고    scopus 로고
    • An Enhanced Representation of Time Series which Allows Fast and Accurate Classification, Clustering and Relevance Feedback
    • Aug.
    • E.J. Keogh and M.J. Pazzani, “An Enhanced Representation of Time Series which Allows Fast and Accurate Classification, Clustering and Relevance Feedback,” Proc. Fourth Int’l Conf. Knowledge Discovery and Data Mining (KDD'98), pp. 239–241, Aug. 1998.
    • (1998) Proc. Fourth Int’l Conf. Knowledge Discovery and Data Mining (KDD'98) , pp. 239-241
    • Keogh, E.J.1    Pazzani, M.J.2
  • 18
    • 26944440613 scopus 로고    scopus 로고
    • Time Series Feature Extraction for Data Mining Using DWT and DFT
    • Technical Report no. 33, Math and Computer Science Dept., Philipps Univ., Marburg, Germany
    • F. Morchen, “Time Series Feature Extraction for Data Mining Using DWT and DFT,” Technical Report no. 33, Math and Computer Science Dept., Philipps Univ., Marburg, Germany, 2003.
    • (2003)
    • Morchen, F.1
  • 21
    • 0033871047 scopus 로고    scopus 로고
    • Landmarks: A New Model for Similarity-Based Pattern Querying in Time Series Databases
    • Feb.-Mar.
    • C.-S. Perng, H. Wang, S.R. Zhang, and D.S. Parker, “Landmarks: A New Model for Similarity-Based Pattern Querying in Time Series Databases,” Proc. 16th Int’l Conf. Data Eng., Feb.-Mar. 2000.
    • (2000) Proc. 16th Int’l Conf. Data Eng.
    • Perng, C.-S.1    Wang, H.2    Zhang, S.R.3    Parker, D.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.