메뉴 건너뛰기




Volumn , Issue , 2006, Pages 347-356

In search of meaning for time series subsequence clustering: Matching algorithms based on a new distance measure

Author keywords

Cluster shape distance; K means subsequence clustering; Meaningless

Indexed keywords

DATA STRUCTURES; INFORMATION MANAGEMENT; PATTERN RECOGNITION; RELIABILITY THEORY; TIME SERIES ANALYSIS;

EID: 34547637224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1183614.1183666     Document Type: Conference Paper
Times cited : (31)

References (30)
  • 2
  • 3
    • 0014060964 scopus 로고
    • A clustering technique for summarizing multivariate data
    • March
    • G. H. Ball and D. J. Hall. A clustering technique for summarizing multivariate data. Behavioral Science,12:153-155, March 1967.
    • (1967) Behavioral Science , vol.12 , pp. 153-155
    • Ball, G.H.1    Hall, D.J.2
  • 4
    • 0038181502 scopus 로고
    • Recognition of printed chinese characters
    • February
    • R. Casey and G. Nagy. Recognition of printed chinese characters. IEEE Trans. Electronic Computers,15(1):91-101, February 1966.
    • (1966) IEEE Trans. Electronic Computers , vol.15 , Issue.1 , pp. 91-101
    • Casey, R.1    Nagy, G.2
  • 6
    • 33745141724 scopus 로고
    • Advances in pattern recognition
    • R. Casey and G. Nagy. Advances in pattern recognition. Scientific American,224(4):56-71, 1971.
    • (1971) Scientific American , vol.224 , Issue.4 , pp. 56-71
    • Casey, R.1    Nagy, G.2
  • 8
    • 34547639983 scopus 로고    scopus 로고
    • Proc. 3rd Workshop on Mining Temporal and Sequential Data (TDM 04) in conjunction with The Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining
    • Aug
    • A. Denton. Density-based clustering of time series subsequences. In Proc. 3rd Workshop on Mining Temporal and Sequential Data (TDM 04) in conjunction with The Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining,Aug. 2004.
    • (2004) Density-based clustering of time series subsequences
    • Denton, A.1
  • 9
    • 0018655613 scopus 로고
    • Validity studies in clustering methodologies
    • R. Dubes and A. Jain. Validity studies in clustering methodologies. Pattern Recognition,11:235-254, 1979.
    • (1979) Pattern Recognition , vol.11 , pp. 235-254
    • Dubes, R.1    Jain, A.2
  • 14
    • 33750309171 scopus 로고    scopus 로고
    • Why does subsequence time-series clustering produce sine waves?
    • Proc. PKDD, Sep. 18-22, 2006, Springer
    • T. Ide. Why does subsequence time-series clustering produce sine waves? In Proc. PKDD, Sep. 18-22, 2006, LNAI 4213,pages 311-322. Springer, 2006.
    • (2006) LNAI , vol.4213 , pp. 311-322
    • Ide, T.1
  • 17
    • 34547644385 scopus 로고    scopus 로고
    • E. Keogh and T. Folias. Data, mining archive [http://www.cs.ucr.edu/ eamonn/tsdma/index.html]. cse dept., univ. of california-riverside. 2002.
    • E. Keogh and T. Folias. Data, mining archive [http://www.cs.ucr.edu/ eamonn/tsdma/index.html]. cse dept., univ. of california-riverside. 2002.
  • 18
    • 21844471761 scopus 로고    scopus 로고
    • Clustering of time series subsequences is meaningless: Implications for previous and future research
    • Aug
    • E. Keogh and J. Lin. Clustering of time series subsequences is meaningless: Implications for previous and future research. Knowledge and Information Systems,8(2):154-177, Aug. 2005.
    • (2005) Knowledge and Information Systems , vol.8 , Issue.2 , pp. 154-177
    • Keogh, E.1    Lin, J.2
  • 19
    • 78149351008 scopus 로고    scopus 로고
    • Clustering of time series subsequences is meaningless: Implications for previous and future research
    • IEEE, Nov
    • E. Keogh, J. Lin, and W. Truppel. Clustering of time series subsequences is meaningless: Implications for previous and future research. In Proc. 3rd IEEE Int'l Conf. on Data Mining,pages 115-122. IEEE, Nov. 2003.
    • (2003) Proc. 3rd IEEE Int'l Conf. on Data Mining , pp. 115-122
    • Keogh, E.1    Lin, J.2    Truppel, W.3
  • 20
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • J. MacQueen. Some methods for classification and analysis of multivariate observations. In Proc. 5th Berkeley Symp. Math. Statist.,pages 281-297, 1967.
    • (1967) Proc. 5th Berkeley Symp. Math. Statist , pp. 281-297
    • MacQueen, J.1
  • 21
    • 33847342286 scopus 로고    scopus 로고
    • Learning rules for time series anomaly detection
    • Tech. Rep. CS-2005-04. Florida Inst. of Technology. Melbourne, FL
    • M. Mahoney and P. Chan. Learning rules for time series anomaly detection. Tech. Rep. CS-2005-04. Florida Inst. of Technology. Melbourne, FL.,2005.
    • (2005)
    • Mahoney, M.1    Chan, P.2
  • 22
    • 0000743235 scopus 로고
    • State of the art in pattern recognition
    • May
    • G. Nagy. State of the art in pattern recognition. In Proc. IEEE, 56:5,pages 336-362, May 1968.
    • (1968) Proc. IEEE , vol.56 , Issue.5 , pp. 336-362
    • Nagy, G.1
  • 23
    • 0014580282 scopus 로고
    • Feature extraction on binary patterns
    • Oct
    • G. Nagy. Feature extraction on binary patterns. IEEE Trans. System Science and Cybernetics,5(4):273-278, Oct. 1969.
    • (1969) IEEE Trans. System Science and Cybernetics , vol.5 , Issue.4 , pp. 273-278
    • Nagy, G.1
  • 24
    • 0012364514 scopus 로고
    • Decoding substitution ciphers by means of word matching with application to OCR
    • Sep
    • G. Nagy, S. Seth, and K. Einspahr. Decoding substitution ciphers by means of word matching with application to OCR. IEEE Trans. Pattern Analysis and Machine Intelligence,9(5):710-715, Sep. 1987.
    • (1987) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.9 , Issue.5 , pp. 710-715
    • Nagy, G.1    Seth, S.2    Einspahr, K.3
  • 25
    • 34547640416 scopus 로고
    • Nonsupervised crop classification through airborne multispectral observations
    • March
    • G. Nagy and J. Tolaba. Nonsupervised crop classification through airborne multispectral observations. IBM Journal of Research and Development, 16(2):138-153, March 1972.
    • (1972) IBM Journal of Research and Development , vol.16 , Issue.2 , pp. 138-153
    • Nagy, G.1    Tolaba, J.2
  • 27
    • 33749851035 scopus 로고    scopus 로고
    • G. Simon, J. Lee, and M. Verleysen. On the need of unfolding preprocessing for time series clustering. In Proc. of WSOM'05, Workshop on Self-Organizing Maps. Paris, France., pages 251-258, Sep. 2005.
    • G. Simon, J. Lee, and M. Verleysen. On the need of unfolding preprocessing for time series clustering. In Proc. of WSOM'05, Workshop on Self-Organizing Maps. Paris, France., pages 251-258, Sep. 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.