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Volumn 7923 LNCS, Issue , 2013, Pages 314-325

A metric learning based approach to evaluate task-specific time series similarity

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT; TIME SERIES;

EID: 84879996400     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38562-9_32     Document Type: Conference Paper
Times cited : (1)

References (15)
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    • Berndt, D.J., Clifford, J.: Using Dynamic Time Warping to Find Patterns in Time Series. In: KDD Workshop (1994)
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    • Berndt, D.J.1    Clifford, J.2
  • 4
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    • A brief survey on sequence classification
    • November
    • Xing, Z., Pei, J., Keogh, E.: A brief survey on sequence classification. SIGKDD Explor. Newsl. 12(1) (November 2010)
    • (2010) SIGKDD Explor. Newsl. , vol.12 , Issue.1
    • Xing, Z.1    Pei, J.2    Keogh, E.3
  • 7
    • 0031166708 scopus 로고    scopus 로고
    • Efficiently supporting ad hoc queries in large datasets of time sequences
    • June
    • Korn, F., Jagadish, H.V., Faloutsos, C.: Efficiently supporting ad hoc queries in large datasets of time sequences. SIGMOD Rec. 26(2) (June 1997)
    • (1997) SIGMOD Rec. , vol.26 , Issue.2
    • Korn, F.1    Jagadish, H.V.2    Faloutsos, C.3
  • 10
    • 0042711018 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: A survey and empirical demonstration
    • October
    • Keogh, E., Kasetty, S.: On the need for time series data mining benchmarks: A survey and empirical demonstration. Data Min. Knowl. Discov. 7(4) (October 2003)
    • (2003) Data Min. Knowl. Discov. , vol.7 , Issue.4
    • Keogh, E.1    Kasetty, S.2
  • 12
    • 84863144899 scopus 로고    scopus 로고
    • Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment
    • Wang, F., Sun, J., Ebadollahi, S.: Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. Statistical Analysis and Data Mining 5(1) (2012)
    • (2012) Statistical Analysis and Data Mining , vol.5 , Issue.1
    • Wang, F.1    Sun, J.2    Ebadollahi, S.3
  • 13
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • June
    • Weinberger, K.Q., Saul, L.K.: Distance metric learning for large margin nearest neighbor classification. J. Mach. Learn. Res. 10 (June 2009)
    • (2009) J. Mach. Learn. Res , pp. 10
    • Weinberger, K.Q.1    Saul, L.K.2
  • 14
    • 79960697096 scopus 로고    scopus 로고
    • Semisupervised metric learning by maximizing constraint margin
    • Wang, F.: Semisupervised metric learning by maximizing constraint margin. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(4), 931-939 (2011)
    • (2011) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.41 , Issue.4 , pp. 931-939
    • Wang, F.1
  • 15
    • 0031166708 scopus 로고    scopus 로고
    • Efficiently supporting ad hoc queries in large datasets of time sequences
    • May
    • Korn, F., Jagadish, H.V., Faloutsos, C.: Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences. In: ACM SIGMOD, pp. 289-300 (May 1997)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.