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Volumn , Issue , 2013, Pages 171-174

Detecting anomalies in cellular networks using an ensemble method

Author keywords

cell anomaly detection; Key Performance Indicators; performance management; Self Healing; Self Organizing Networks (SON)

Indexed keywords

BENCHMARKING; CELLS; DEGRADATION;

EID: 84894412076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNSM.2013.6727831     Document Type: Conference Paper
Times cited : (61)

References (14)
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    • J. Ma and S. Perkins, "Time-Series Novelty Detection Using One-Class Support Vector Machines," Neural Networks, 2003.
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    • Ma, J.1    Perkins, S.2
  • 10
    • 48749115886 scopus 로고    scopus 로고
    • VAR, sVAR and sVEC models implementation within r package vars
    • B. Pfaff, "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Vol. 27, Issue 4, 2008.
    • (2008) Journal of Statistical Software , vol.27 , Issue.4
    • Pfaff, B.1
  • 11
    • 35148838877 scopus 로고
    • The weighted majority algorithm
    • N. Littlestone and M.K. Warmuth, "The Weighted Majority Algorithm," Inf. Comput. 108, 2, 1994.
    • (1994) Inf. Comput , vol.108 , pp. 2
    • Littlestone, N.1    Warmuth, M.K.2
  • 13
    • 84855521730 scopus 로고    scopus 로고
    • Bayesian estimation of network-Wide mean failure probability in 3G cellular networks
    • Springer
    • A. Coluccia, F. Ricciato, and P. Romirer-Maierhofer, "Bayesian Estimation of Network-Wide Mean Failure Probability in 3G Cellular Networks," In PERFORM, Vol. 6821, Springer (2010), pp. 167-178.
    • (2010) PERFORM , vol.6821 , pp. 167-178
    • Coluccia, A.1    Ricciato, F.2    Romirer-Maierhofer, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.