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Volumn 35, Issue 5, 2010, Pages 1-31

rEMM: Extensible Markov model for data stream clustering in R

Author keywords

Clustering; Data mining; Data streams; Markov chain

Indexed keywords


EID: 77955150621     PISSN: 15487660     EISSN: 15487660     Source Type: Journal    
DOI: 10.18637/jss.v035.i05     Document Type: Article
Times cited : (11)

References (40)
  • 9
    • 0032823783 scopus 로고    scopus 로고
    • Genomic Signature: Characterization and Classiffication of Species Assessed by Chaos Game Representation of Sequences
    • Deschavanne PJ, Giron A, Vilain J, Fagot G, Fertil B (1999). Genomic Signature: Characterization and Classiffication of Species Assessed by Chaos Game Representation of Sequences.Molecular Biology and Evolution, 16(10), 1391-1399.
    • (1999) Molecular Biology and Evolution , vol.16 , Issue.10 , pp. 1391-1399
    • Deschavanne, P.J.1    Giron, A.2    Vilain, J.3    Fagot, G.4    Fertil, B.5
  • 16
    • 0029887381 scopus 로고    scopus 로고
    • Hidden Markov Models for Sequence Analysis: Extension and Analysis of the Basic Method
    • Hughey R, Krogh A (1996). Hidden Markov Models for Sequence Analysis: Extension and Analysis of the Basic Method. Computational Applications in Bioscience, 12(2), 95-107.
    • (1996) Computational Applications In Bioscience , vol.12 , Issue.2 , pp. 95-107
    • Hughey, R.1    Krogh, A.2
  • 18
    • 0003913523 scopus 로고    scopus 로고
    • Markov Processes for Stochastic Modeling
    • Chapman & Hall/CRC, Boca Raton
    • Kijima M (1997). Markov Processes for Stochastic Modeling. Stochastic Modeling Series. Chapman & Hall/CRC, Boca Raton.
    • (1997) Stochastic Modeling Series
    • Kijima, M.1
  • 20
    • 33750289836 scopus 로고    scopus 로고
    • A Toolbox for K-Centroids Cluster Analysis
    • Leisch F (2006). A Toolbox for K-Centroids Cluster Analysis. Computational Statistics & Data Analysis, 51(2), 526-544.
    • (2006) Computational Statistics & Data Analysis , vol.51 , Issue.2 , pp. 526-544
    • Leisch, F.1
  • 24
    • 77955133761 scopus 로고    scopus 로고
    • Mining Developing Trends of Dynamic Spatiotemporal Data Streams
    • Meng Y, Dunham MH (2006b). Mining Developing Trends of Dynamic Spatiotemporal Data Streams. Journal of Computers, 1(3), 43-50.
    • (2006) Journal of Computers , vol.1 , Issue.3 , pp. 43-50
    • Meng, Y.1    Dunham, M.H.2
  • 29
    • 0030715097 scopus 로고    scopus 로고
    • HMM Topology Desing Using Maximum Likelihood Successive State Splitting
    • Ostendorf M, Singer H (1997).HMM Topology Desing Using Maximum Likelihood Successive State Splitting. Computer Speech and Language, 11(1), 17-41.
    • (1997) Computer Speech and Language , vol.11 , Issue.1 , pp. 17-41
    • Ostendorf, M.1    Singer, H.2
  • 30
    • 33748319134 scopus 로고    scopus 로고
    • Society for Industrial Mathematics
    • Parzen E (1999). Stochastic Processes. Society for Industrial Mathematics.
    • (1999) Stochastic Processes
    • Parzen, E.1
  • 31
    • 33748324384 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0
    • R Development Core Team (2010). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
    • (2010) R: A Language and Environment For Statistical Computing
  • 32
    • 22044455069 scopus 로고    scopus 로고
    • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
    • Sander J, Ester M, Kriegel HP, Xu X (1998). Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications.Data Minining and Knowledge Discovery, 2(2), 169-194.
    • (1998) Data Minining and Knowledge Discovery , vol.2 , Issue.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.P.3    Xu, X.4
  • 33
    • 67349148172 scopus 로고    scopus 로고
    • Hand D (2006). Unsupervised Clustering in Streaming Data
    • Sixth IEEE International Conference on Data Mining (ICDM 2006)
    • Tasoulis D, Adams N, Hand D (2006). Unsupervised Clustering in Streaming Data. In IEEE International Workshop on Mining Evolving and Streaming Data. Sixth IEEE International Conference on Data Mining (ICDM 2006), pp. 638-642.
    • IEEE International Workshop On Mining Evolving and Streaming Data , pp. 638-642
    • Tasoulis, D.1    Adams, N.2
  • 34
    • 38049058271 scopus 로고    scopus 로고
    • Visualising the Cluster Structure of Data Streams
    • Lecture Notes in Computer Science, Springer-Verlag
    • Tasoulis DK, Ross G, Adams NM (2007). Visualising the Cluster Structure of Data Streams.In Advances in Intelligent Data Analysis VII, Lecture Notes in Computer Science, pp. 81-92. Springer-Verlag.
    • (2007) Advances In Intelligent Data Analysis VII , pp. 81-92
    • Tasoulis, D.K.1    Ross, G.2    Adams, N.M.3
  • 35
    • 73349087457 scopus 로고    scopus 로고
    • Stream Data Clustering Based on Grid Density and Attraction
    • ISSN 1556-4681
    • Tu L, Chen Y (2009). Stream Data Clustering Based on Grid Density and Attraction. ACM Transactions on Knowledge Discovery from Data, 3(3), 1-27. ISSN 1556-4681.
    • (2009) ACM Transactions On Knowledge Discovery From Data , vol.3 , Issue.3 , pp. 1-27
    • Tu, L.1    Chen, Y.2
  • 36
    • 0037342499 scopus 로고    scopus 로고
    • Alignment-Free Sequence Comparison-A Review
    • Vinga S, Almeida J (2003). Alignment-Free Sequence Comparison-A Review. Bioinformatics, 19(4), 513-523.
    • (2003) Bioinformatics , vol.19 , Issue.4 , pp. 513-523
    • Vinga, S.1    Almeida, J.2
  • 38
    • 34548293679 scopus 로고    scopus 로고
    • Naive Bayesian Classiffier for Rapid Assignment of rRNA Sequences into the new Bacterial Taxonomy
    • Wang Q, Garrity GM, Tiedje JM, Cole JR (2007). Naive Bayesian Classiffier for Rapid Assignment of rRNA Sequences into the new Bacterial Taxonomy. Applied and Environmental Microbiology, 73(16), 5261-5267.
    • (2007) Applied and Environmental Microbiology , vol.73 , Issue.16 , pp. 5261-5267
    • Wang, Q.1    Garrity, G.M.2    Tiedje, J.M.3    Cole, J.R.4
  • 39
    • 0035013276 scopus 로고    scopus 로고
    • Statistical Measures of DNA Sequence Dissimilarity under Markov Chain Models of Base Composition
    • Wu TJ, Hsieh YC, Li LA (2001). Statistical Measures of DNA Sequence Dissimilarity under Markov Chain Models of Base Composition. Biometrics, 57(2), 441-448.
    • (2001) Biometrics , vol.57 , Issue.2 , pp. 441-448
    • Wu, T.J.1    Hsieh, Y.C.2    Li, L.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.