Customer churn prediction using improved balanced random forests

Expert Systems with Applications

Volumn 36, Issue 3 PART 1, 2009, Pages 5445-5449

  Xie, Yaya ^a   Li, Xiu ^a   Ngai, E W T ^b   Ying, Weiyun ^c  

^a TSINGHUA UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Churn prediction; Imbalanced data; Random forests

Indexed keywords

DECISION TREES; ITERATIVE METHODS; NEURAL NETWORKS; SALES; SUPPORT VECTOR MACHINES;

CHURN PREDICTIONS; COST-SENSITIVE LEARNING; CUSTOMER CHURN DATA SET; CUSTOMER CHURN PREDICTION; IMBALANCED DATA; PREDICTION ACCURACY; RANDOM FORESTS; RESOURCE CONSTRAINT;

FORECASTING;

EID: 58349116623     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.06.121     Document Type: Article

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