Preventing customer churn by using random forests modeling

2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Volumn , Issue , 2008, Pages 429-434

  Ying, Weiyun ^a   Li, Xiu ^b   Xie, Yaya ^b   Johnson, Ellis ^c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

^c Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CUSTOMER SATISFACTION; DATA PROCESSING; DECISION MAKING; DECISION THEORY; DECISION TREES; INFORMATION USE; INTEGRATION; NEURAL NETWORKS; RANDOM PROCESSES; SALES; STANDARDS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS); WEIGHT CONTROL;

ARTIFICIAL NEURAL NETWORKS; CLASS DISTRIBUTIONS; COMMERCIAL BANKS; COST-SENSITIVE LEARNING; INFORMATION RE-USE; INTERNATIONAL CONFERENCES; MISCLASSIFICATION; PREDICTION ACCURACY; RANDOM FORESTS; SAMPLING TECHNIQUES;

LEARNING ALGORITHMS;

EID: 51949105094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2008.4583069     Document Type: Conference Paper

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