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Volumn , Issue , 2012, Pages 2541-2545

SubFlow: Towards practical flow-level traffic classification

Author keywords

[No Author keywords available]

Indexed keywords

FLOW-LEVEL; INTER-ARRIVAL TIME; NEW APPLICATIONS; PACKET SIZE; PRACTICAL SOLUTIONS; RESEARCH EFFORTS; SUBSPACE CLUSTERING; TRAFFIC BEHAVIOR; TRAFFIC CLASSIFICATION; TRAFFIC MONITORING;

EID: 84861619781     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOM.2012.6195649     Document Type: Conference Paper
Times cited : (40)

References (18)
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  • 7
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    • Profiling-By-Association: A resilient traffic profiling solution for the Internet backbone
    • M. Iliofotou, B. Gallagher, T. Eliassi-Rad, G. Xie, and M. Faloutsos. Profiling-By-Association: a resilient traffic profiling solution for the Internet backbone. In ACM CoNEXT, 2010.
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    • Iliofotou, M.1    Gallagher, B.2    Eliassi-Rad, T.3    Xie, G.4    Faloutsos, M.5
  • 9
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    • Internet Traffic Classification Demystified: Myths, Caveats, and the Best Practices
    • H. Kim, K. Claffy, M. Fomenkov, D. Barman, M. Faloutsos, and K. Lee. Internet Traffic Classification Demystified: Myths, Caveats, and the Best Practices. In ACM CoNEXT, 2008.
    • (2008) ACM CoNEXT
    • Kim, H.1    Claffy, K.2    Fomenkov, M.3    Barman, D.4    Faloutsos, M.5    Lee, K.6
  • 10
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • R. Kohavi and G. John. Wrappers for feature subset selection. Artificial intelligence, 97(1-2):273-324, 1997. (Pubitemid 127401107)
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    • Kohavi, R.1    John, G.H.2
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    • 14344265818 scopus 로고    scopus 로고
    • Internet Traffic Classification Using Bayesian Analysis Techniques
    • A. Moore and D. Zuev. Internet Traffic Classification Using Bayesian Analysis Techniques. In ACM SIGMETRICS, 2005.
    • (2005) ACM SIGMETRICS
    • Moore, A.1    Zuev, D.2
  • 13
    • 84865086248 scopus 로고    scopus 로고
    • Evaluating clustering in subspace projections of high dimensional data
    • E. Muller, S. Gnnemann, I. Assent, and T. Seidl. Evaluating clustering in subspace projections of high dimensional data. Proceedings of the VLDB Endowment, 2(1):1270-1281, 2009.
    • (2009) Proceedings of the VLDB Endowment , vol.2 , Issue.1 , pp. 1270-1281
    • Muller, E.1    Gnnemann, S.2    Assent, I.3    Seidl, T.4
  • 14
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    • A Survey of Techniques for Internet Traffic Classification using Machine Learning
    • 4th Edition, Mar.
    • T. T. T. Nguyen and G. Armitage. A Survey of Techniques for Internet Traffic Classification using Machine Learning. IEEE Communications Surveys and Tutorials, 4th edition, Mar. 2008.
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    • Subspace clustering for high dimensional data: A review
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    • Profiling Internet Backbone Traffic: Behavior Models and Applications
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.