메뉴 건너뛰기




Volumn 38, Issue 6, 2012, Pages 1808-1819

Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVES; DATA DISTRIBUTION; DATA SETS; F-SCORE; FEATURE REDUCTION; HIGH DIMENSIONALITY; K NEAREST NEIGHBOURS (K-NN); PREDICTION MODEL; PREDICTION PERFORMANCE; PRINCIPLE COMPONENT ANALYSIS; RANDOM FORESTS; TELECOM; UNDER-SAMPLING;

EID: 84870060529     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2012.09.001     Document Type: Article
Times cited : (107)

References (29)
  • 2
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic Study
    • N. Japkowicz, and S. Setphen The class imbalance problem: a systematic Study Intell Data Anal 6 5 2002 429 449
    • (2002) Intell Data Anal , vol.6 , Issue.5 , pp. 429-449
    • Japkowicz, N.1    Setphen, S.2
  • 4
    • 27144540575 scopus 로고    scopus 로고
    • Class imbalance versus small disjuncts
    • T. Jo, and N. Japkowicz Class imbalance versus small disjuncts ACM SIGKDD Explorat Newslett 6 1 2004 40 49
    • (2004) ACM SIGKDD Explorat Newslett , vol.6 , Issue.1 , pp. 40-49
    • Jo, T.1    Japkowicz, N.2
  • 5
    • 58349090428 scopus 로고    scopus 로고
    • Cluster-based under-sampling approaches for imbalanced data distributions
    • S. Yen, and Y. Lee Cluster-based under-sampling approaches for imbalanced data distributions Expert Syst Appl 36 3 2009 5718 5727
    • (2009) Expert Syst Appl , vol.36 , Issue.3 , pp. 5718-5727
    • Yen, S.1    Lee, Y.2
  • 7
    • 27144479454 scopus 로고    scopus 로고
    • Learning from imbalanced data sets with boosting and data generation: The DataBoost-IM approach
    • H. Guo, and H.L. Viktor Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach ACM SIGKDD Explorat Newslett 6 1 2004 30 39
    • (2004) ACM SIGKDD Explorat Newslett , vol.6 , Issue.1 , pp. 30-39
    • Guo, H.1    Viktor, H.L.2
  • 10
    • 1942533487 scopus 로고    scopus 로고
    • Evaluation of decision trees: A multi-criteria approach
    • K.M. Osei-Bryson Evaluation of decision trees: a multi-criteria approach J Comput Oper Res 13 11 2004 1933 1945
    • (2004) J Comput Oper Res , vol.13 , Issue.11 , pp. 1933-1945
    • Osei-Bryson, K.M.1
  • 11
    • 33847659604 scopus 로고    scopus 로고
    • Computer assisted customer churn management: State-of-the-art and future trends
    • J. Haden, A. Tiwari, R. Roy, and D. Ruta Computer assisted customer churn management: state-of-the-art and future trends Comput Oper Res 34 10 2007 2902 2917
    • (2007) Comput Oper Res , vol.34 , Issue.10 , pp. 2902-2917
    • Haden, J.1    Tiwari, A.2    Roy, R.3    Ruta, D.4
  • 12
    • 0345872225 scopus 로고    scopus 로고
    • A novel evolutionary data mining algorithm with applications to churn prediction
    • A. Wai-Ho, K.C.C. Chan, and Y. Xin A novel evolutionary data mining algorithm with applications to churn prediction IEEE Trans Evol Comput 7 6 2003 532 545
    • (2003) IEEE Trans Evol Comput , vol.7 , Issue.6 , pp. 532-545
    • Wai-Ho, A.1    Chan, K.C.C.2    Xin, Y.3
  • 16
    • 84857447530 scopus 로고    scopus 로고
    • An approach based on probabilistic neural network for diagnosis of Mesothelioma's disease
    • E. Orhan, C.T. Abdullah, A. Abdurrahman, and T. Feyzullah An approach based on probabilistic neural network for diagnosis of Mesothelioma's disease Comput Elect Eng 38 1 2011 75 81
    • (2011) Comput Elect Eng , vol.38 , Issue.1 , pp. 75-81
    • Orhan, E.1    Abdullah, C.T.2    Abdurrahman, A.3    Feyzullah, T.4
  • 17
    • 58349116623 scopus 로고    scopus 로고
    • Customer churn prediction using improved balanced random forests
    • Y. Xie, X. Li, E.W.T. Ngai, and W. Ying Customer churn prediction using improved balanced random forests Expert Syst Appl 36 3/1 2008 5445 5449
    • (2008) Expert Syst Appl , vol.36 , Issue.1-3 , pp. 5445-5449
    • Xie, Y.1    Li, X.2    Ngai, E.W.T.3    Ying, W.4
  • 19
    • 84870062597 scopus 로고    scopus 로고
    • Application of additive groves ensemble with multiple counts feature evaluation to KDDCup'09 small dataset
    • Soroskina D. Application of additive groves ensemble with multiple counts feature evaluation to KDDCup'09 small dataset. In: JMLR, workshop and conference proceedings; 2007. p. 101-9.
    • (2007) JMLR, Workshop and Conference Proceedings , pp. 101-109
    • Soroskina, D.1
  • 21
  • 23
    • 71549117908 scopus 로고    scopus 로고
    • A particle swarm based hybrid system for imbalanced medical data sampling
    • P. Yang, L. Xu, B. Zhou B, Z. Zhang, and A.Y. Zomaya A particle swarm based hybrid system for imbalanced medical data sampling BMC Genom 10 Suppl. 3 2009 S34
    • (2009) BMC Genom , vol.10 , Issue.SUPPL. 3 , pp. 34
    • Yang, P.1    Xu, L.2    Zhou, B.B.3    Zhang, Z.4    Zomaya, A.Y.5
  • 24
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection on mutual information criteria of max-dependency, max-relevance and min-redundancy
    • P. Hanchuan, L. Fuhui, and C. Ging Feature selection on mutual information criteria of max-dependency, max-relevance and min-redundancy IEEE Trans Pattern Anal Mach Intell 27 8 2005 1226 1238
    • (2005) IEEE Trans Pattern Anal Mach Intell , vol.27 , Issue.8 , pp. 1226-1238
    • Hanchuan, P.1    Fuhui, L.2    Ging, C.3
  • 26
    • 34249668816 scopus 로고    scopus 로고
    • Genetic perceptual shaping: Utilizing cover image and conceivable attack information using genetic programming
    • A. Khan, and M. Mirza A Genetic perceptual shaping: utilizing cover image and conceivable attack information using genetic programming Inform Fusion 8 4 2007 354 365
    • (2007) Inform Fusion , vol.8 , Issue.4 , pp. 354-365
    • Khan, A.1    Mirza, A.M.2
  • 27
    • 43049171623 scopus 로고    scopus 로고
    • Machine learning based adaptive watermark decoding in view of an anticipated attack
    • A. Khan, S.F. Tahir, A. Majid, and T.S. Choi Machine learning based adaptive watermark decoding in view of an anticipated attack Pattern Recog 14 8 2008 2594 2610
    • (2008) Pattern Recog , vol.14 , Issue.8 , pp. 2594-2610
    • Khan, A.1    Tahir, S.F.2    Majid, A.3    Choi, T.S.4
  • 28
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • A.P. Bradley The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recog 30 7 1997 1145 1159
    • (1997) Pattern Recog , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.