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Volumn 6003 LNCS, Issue , 2010, Pages 141-154

K-dimensional trees for continuous traffic classification

Author keywords

[No Author keywords available]

Indexed keywords

EFFICIENT IMPLEMENTATION; HUMAN INTERVENTION; K-DIMENSIONAL TREE; MULTIPLE MACHINE; NEAREST NEIGHBOR TECHNIQUE; NETWORK MEASUREMENT; NETWORK OPERATOR; TRAFFIC CLASSIFICATION; TRAINING DATA; TRAINING PHASE;

EID: 77952019854     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12365-8_11     Document Type: Conference Paper
Times cited : (20)

References (16)
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    • Proc. of WWW Conf. (2007)
    • Erman, J.1
  • 8
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    • An algorithm for finding best matches in logarithmic expected time
    • Friedman, J.H., Bentley, J.L., Finkel, R.A.: An algorithm for finding best matches in logarithmic expected time. ACM Trans. Math. Softw. 3(3), 209-226 (1977)
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  • 9
    • 77952075035 scopus 로고    scopus 로고
    • as of August 12
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    • (2008)
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    • Internet traffic classification demystified: Myths, caveats, and the best practices
    • Kim, H., et al.: Internet traffic classification demystified: myths, caveats, and the best practices. In: Proc. of ACM CoNEXT (2008)
    • (2008) Proc. of ACM CoNEXT
    • Kim, H.1
  • 12
    • 33244467936 scopus 로고    scopus 로고
    • Internet traffic classification using bayesian analysis techniques
    • DOI 10.1145/1064212.1064220, SIGMETRICS 2005: International Conference on Measurement and Modeling of Computer Systems - Proceedings
    • Moore, A., Zuev, D.: Internet traffic classification using bayesian analysis techniques. In: Proc. of ACM SIGMETRICS (2005) (Pubitemid 43275409)
    • (2005) Performance Evaluation Review , vol.33 , Issue.1 , pp. 50-60
    • Moore, A.W.1    Zuev, D.2
  • 13
    • 62849120844 scopus 로고    scopus 로고
    • A survey of techniques for internet traffic classification using machine learning
    • Nguyen, T., Armitage, G.: A survey of techniques for internet traffic classification using machine learning. IEEE Communications Surveys and Tutorials 10(4) (2008)
    • (2008) IEEE Communications Surveys and Tutorials , vol.10 , pp. 4
    • Nguyen, T.1    Armitage, G.2
  • 14
    • 14944383480 scopus 로고    scopus 로고
    • Class-of-service mapping for qos: A statistical signature-based approach to ip traffic classification
    • Roughan, M., et al.: Class-of-service mapping for qos: a statistical signature-based approach to ip traffic classification. In: Proc. of ACM SIGCOMM IMC (2004)
    • (2004) Proc. of ACM SIGCOMM IMC
    • Roughan, M.1
  • 15
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    • Evaluating machine learning algorithms for automated network application identification
    • Williams, N., Zander, S., Armitage, G.: Evaluating machine learning algorithms for automated network application identification. CAIA Tech. Rep. (2006)
    • (2006) CAIA Tech. Rep.
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  • 16
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    • Automated traffic classification and application identification using machine learning
    • DOI 10.1109/LCN.2005.35, 1550864, Proceedings - The IEEE Conference on Local Computer Networks - 30th Anniversary, LCN 2005
    • Zander, S., Nguyen, T., Armitage, G.: Automated traffic classification and application identification using machine learning. In: Proc. of IEEE LCN Conf. (2005) (Pubitemid 44815591)
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    • Zander, S.1    Nguyen, T.2    Armitage, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.