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Volumn , Issue , 2011, Pages 2245-2252

P2P traffic identification and optimization using fuzzy c-means clustering

Author keywords

data transformation; fuzzy c means clustering; machine learning; network traffic identification; peer to peer communications; statistical analysis

Indexed keywords

DATA TRANSFORMATION; FUZZY C MEANS CLUSTERING; MACHINE-LEARNING; NETWORK TRAFFIC IDENTIFICATION; PEER-TO-PEER COMMUNICATIONS;

EID: 80053088040     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2011.6007613     Document Type: Conference Paper
Times cited : (20)

References (19)
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  • 4
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    • Accurate, scable in-network identification of P2P traffic using application signatures
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    • Proc. of WWW 2004
    • Sen, S.1    Spatscheck, O.2    Wang, D.3
  • 12
    • 33750283653 scopus 로고    scopus 로고
    • A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    • October
    • 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, pp. 7-15, October, 2006.
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  • 19
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    • Comparative investigations and performance analysis of FCM and MFPCM algorithms on IRIS dats
    • V. S. Rao, "Comparative Investigations and Performance Analysis of FCM and MFPCM Algorithms on IRIS Dats," Indian Journal of Computer Science and Engineering, vol. 1, no. 2, pp. 145-151, 2010.
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    • Rao, V.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.