메뉴 건너뛰기




Volumn 4265 LNAI, Issue , 2006, Pages 89-101

Mining approximate motifs in time series

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SCIENCE; COMPUTER SIMULATION; DATA MINING; PROBLEM SOLVING;

EID: 33750736111     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893318_12     Document Type: Conference Paper
Times cited : (40)

References (20)
  • 1
    • 33745292575 scopus 로고    scopus 로고
    • Detection of Hydrophobic clusters in molecular dynamics protein unfolding simulations using association rules
    • P. Azevedo, C. Silva, J. Rodrigues, N. Loureiro-Ferreira, and R. Brito. Detection of Hydrophobic clusters in molecular dynamics protein unfolding simulations using association rules. LNCS, (3745), 2005.
    • (2005) LNCS , Issue.3745
    • Azevedo, P.1    Silva, C.2    Rodrigues, J.3    Loureiro-Ferreira, N.4    Brito, R.5
  • 2
    • 0028685490 scopus 로고
    • Fitting a mixture model by expectation maximization to discover motifs in biopolymers
    • T. Bailey and C. Elkan. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. In Proc. of the 2th ISMB, 1994.
    • (1994) Proc. of the 2th ISMB
    • Bailey, T.1    Elkan, C.2
  • 3
    • 3342989779 scopus 로고    scopus 로고
    • Protein folding and unfolding simulations: A new challenge for data mining
    • R. Brito, W. Dubitzky, and J. Rodrigues. Protein folding and unfolding simulations: A new challenge for data mining. OMICS: A Journal of Integrative Biology, (8):153-166, 2004.
    • (2004) OMICS: A Journal of Integrative Biology , Issue.8 , pp. 153-166
    • Brito, R.1    Dubitzky, W.2    Rodrigues, J.3
  • 5
    • 52649179212 scopus 로고    scopus 로고
    • Probablistic discovery of time series motifs
    • Washington DC, USA, August 24-27
    • B. Chiu, E. Keogh, and S. Lonardi, Probablistic discovery of time series motifs. In Proceedings of the 9th ACM SIGKDD, Washington DC, USA, August 24-27 2003.
    • (2003) Proceedings of the 9th ACM SIGKDD
    • Chiu, B.1    Keogh, E.2    Lonardi, S.3
  • 7
    • 0032627945 scopus 로고    scopus 로고
    • Efficient mining of partial periodic patterns in time series database
    • J. Han, G. Dong, and Y. Yin. Efficient mining of partial periodic patterns in time series database. In Proc. of the 15th ICDE, 1999.
    • (1999) Proc. of the 15th ICDE
    • Han, J.1    Dong, G.2    Yin, Y.3
  • 8
    • 0003704318 scopus 로고    scopus 로고
    • department of information and computer science
    • S. Hettich and S. D. Bay. The uci kdd archive irvine,[http://kdd.ics.uci. edu], ca: University of California, department of information and computer science, 1999.
    • (1999) The uci kdd Archive Irvine
    • Hettich, S.1    Bay, S.D.2
  • 9
    • 0242709395 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: A survey and empricial demonstration
    • E. Keogh and S. Kasetty. On the need for time series data mining benchmarks: A survey and empricial demonstration. In Proc. of the 8th ACM SIGKDD, 2002.
    • (2002) Proc. of the 8th ACM SIGKDD
    • Keogh, E.1    Kasetty, S.2
  • 10
    • 34548547034 scopus 로고    scopus 로고
    • Hot sax: Efficiently finding the most unusual time series subsequence
    • E. Keogh, J. Lin, and A. Fu. Hot sax: Efficiently finding the most unusual time series subsequence. In Proc. of the 5th IEEE ICDM, 2005.
    • (2005) Proc. of the 5th IEEE ICDM
    • Keogh, E.1    Lin, J.2    Fu, A.3
  • 11
    • 0034592912 scopus 로고    scopus 로고
    • Scaling up dynamic time warping for datamining applications
    • E. Keogh and M. Pazzani. Scaling up dynamic time warping for datamining applications. In Proc. of the 6th ACM SIGKDD, 2000.
    • (2000) Proc. of the 6th ACM SIGKDD
    • Keogh, E.1    Pazzani, M.2
  • 17
    • 84941187106 scopus 로고    scopus 로고
    • Discover motifs in multi-dimensional time-series using the principal component analysis and the mdl principle
    • Y. Tanaka and K. Uehara. Discover motifs in multi-dimensional time-series using the principal component analysis and the mdl principle. In Proc. of 3th MLDM, 2003.
    • (2003) Proc. of 3th MLDM
    • Tanaka, Y.1    Uehara, K.2
  • 18
    • 0043123063 scopus 로고    scopus 로고
    • Gibbs recursive sampler: Finding transcription factor binding sites
    • W. Thompson, E. Rouchka, and C. Lawrence. Gibbs recursive sampler: finding transcription factor binding sites. Nucleic Acids Research, 31(13):3580-3585, 2003.
    • (2003) Nucleic Acids Research , vol.31 , Issue.13 , pp. 3580-3585
    • Thompson, W.1    Rouchka, E.2    Lawrence, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.