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Volumn 5212 LNAI, Issue PART 2, 2008, Pages 628-643

Data streaming with affinity propagation

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR TELEPHONE SYSTEMS; CRACK PROPAGATION; DATA REDUCTION; DATABASE SYSTEMS; FLOW OF SOLIDS; INTRUSION DETECTION; LEARNING SYSTEMS; MESSAGE PASSING; ROBOT LEARNING;

EID: 56049108623     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_41     Document Type: Conference Paper
Times cited : (74)

References (22)
  • 5
    • 30344485261 scopus 로고    scopus 로고
    • Data streams: Algorithms and applications. Found
    • Muthukrishnan, S.: Data streams: Algorithms and applications. Found. Trends Theor. Comput. Sci. 1, 117-236 (2005)
    • (2005) Trends Theor. Comput. Sci , vol.1 , pp. 117-236
    • Muthukrishnan, S.1
  • 9
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • Frey, B., Dueck, D.: Clustering by passing messages between data points. Science 315, 972-976 (2007)
    • (2007) Science , vol.315 , pp. 972-976
    • Frey, B.1    Dueck, D.2
  • 10
    • 56049092567 scopus 로고    scopus 로고
    • Supporting online material of clustering by passing messages between data points
    • Frey, B., Dueck, D.: Supporting online material of clustering by passing messages between data points. Science 315 (2007), http://www.sciencemag.org/cgi/ content/full/1136800/DC1
    • (2007) Science , vol.315
    • Frey, B.1    Dueck, D.2
  • 13
    • 77956891289 scopus 로고
    • Inference about the change-point from cumulative sum tests
    • Hinkley, D.: Inference about the change-point from cumulative sum tests. Biometrika 58, 509-523 (1971)
    • (1971) Biometrika , vol.58 , pp. 509-523
    • Hinkley, D.1
  • 14
    • 35748982103 scopus 로고    scopus 로고
    • Clustering by soft-constraint affinity propagation: Applications to gene-expression data
    • Leone, M., Sumedha, W.M.: Clustering by soft-constraint affinity propagation: Applications to gene-expression data. Bioinformatics 23, 2708 (2007)
    • (2007) Bioinformatics , vol.23 , pp. 2708
    • Leone, M.1    Sumedha, W.M.2
  • 15
    • 0000550189 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noisethe uniqueness of a good optimum for k-means
    • Ester, M.: A density-based algorithm for discovering clusters in large spatial databases with noisethe uniqueness of a good optimum for k-means. In: International Conference on Knowledge Discovery and Data Mining(KDD) (1996)
    • (1996) International Conference on Knowledge Discovery and Data Mining(KDD)
    • Ester, M.1
  • 18
    • 0032676506 scopus 로고    scopus 로고
    • A data mining framework for building intrusion detection models
    • Lee, W., Stolfo, S., Mok, K.: A data mining framework for building intrusion detection models. In: IEEE Symposium on Security and Privacy, pp. 120-132 (1999)
    • (1999) IEEE Symposium on Security and Privacy , pp. 120-132
    • Lee, W.1    Stolfo, S.2    Mok, K.3
  • 22
    • 34548577511 scopus 로고    scopus 로고
    • An empirical bayes approach to detect anomalies in dynamic multidimensional arrays
    • Agarwal, D.K.: An empirical bayes approach to detect anomalies in dynamic multidimensional arrays. In: International Conference on Data Mining (ICDM) (2005)
    • (2005) International Conference on Data Mining (ICDM)
    • Agarwal, D.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.