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Volumn , Issue , 2011, Pages 882-886

IP traffic classification based on machine learning

Author keywords

features optimization; IP traffic flow classification; ML algorithm; performance evaluation

Indexed keywords

CRYPTOGRAPHY; DECISION TREES; INTERNET PROTOCOLS; MACHINE LEARNING; PEER TO PEER NETWORKS; TRAFFIC SURVEYS; TREES (MATHEMATICS);

EID: 84863246204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCT.2011.6158005     Document Type: Conference Paper
Times cited : (13)

References (15)
  • 4
    • 33750283653 scopus 로고    scopus 로고
    • A preliminary performance comparison of five machine learning algorithms for practical ip traffic flow classification
    • N. Williams, S. Zander, and G. Armitage, "A preliminary performance comparison of five machine learning algorithms for practical ip traffic flow classification," ACM SIGCOMM Computer Communication Review, vol. 36, no. 5, p. 16, 2006.
    • (2006) ACM SIGCOMM Computer Communication Review , vol.36 , Issue.5 , pp. 16
    • Williams, N.1    Zander, S.2    Armitage, G.3
  • 5
    • 62849120844 scopus 로고    scopus 로고
    • A survey of techniques for internet traffic classification using machine learning
    • T. T. T. Nguyen and G. Armitage, "A survey of techniques for internet traffic classification using machine learning, "IEEE Communications Surveys & Tutorials, vol. 10, no. 4, pp. 56-76, 2008.
    • (2008) IEEE Communications Surveys & Tutorials , vol.10 , Issue.4 , pp. 56-76
    • Nguyen, T.T.T.1    Armitage, G.2
  • 7
    • 0034274591 scopus 로고    scopus 로고
    • A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms
    • Kluwer Academic Publishers, Boston
    • T. Lim, W. Loh, Y. Shih, "A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms", Machine Learning, volume 40, pp. 203-229, Kluwer Academic Publishers, Boston, 2000.
    • (2000) Machine Learning , vol.40 , pp. 203-229
    • Lim, T.1    Loh, W.2    Shih, Y.3
  • 8
    • 61749100211 scopus 로고    scopus 로고
    • Efficient application identificationu and the temporal and spatial stability of classification schema
    • W. Li, M. Canini, A. W. Moore and R. Bolla, "Efficient application identificationu and the temporal and spatial stability of classification schema", Computer Networks, vol. 53, no. 6,pp. 790-809,20008.
    • Computer Networks , vol.53 , Issue.6
    • Li, W.1    Canini, M.2    Moore, A.W.3    Bolla, R.4
  • 9
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-Hill Education (ISE Editions). December
    • T. M. Mitchell, "Machine learning", McGraw-Hill Education (ISE Editions). December 1997.
    • (1997) Machine Learning
    • Mitchell, T.M.1
  • 11
    • 84863240060 scopus 로고    scopus 로고
    • "http://www.cl.cam.ac.uk/research/srg/netos/brasil/."


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.