Customer churn prediction by hybrid neural networks

Expert Systems with Applications

Volumn 36, Issue 10, 2009, Pages 12547-12553

  Tsai, Chih Fong ^a   Lu, Yu Hsin ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

Back propagation neural networks; Churn prediction; Hybrid data mining; Self organizing maps

Indexed keywords

BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; BACK-PROPAGATION NEURAL NETWORKS; BASELINE MODELS; CHURN PREDICTION; CUSTOMER CHURN PREDICTION; DATA MINING TECHNIQUES; DIFFERENT DOMAINS; HYBRID DATA MINING; HYBRID MODEL; HYBRID NEURAL NETWORKS; NEURAL NETWORK TECHNIQUES; PREDICTION ACCURACY; PREDICTION MODEL; SELFORGANIZING MAP; SINGLE NEURAL; TESTING SETS; TRAINING DATA;

CONFORMAL MAPPING; CUSTOMER SATISFACTION; DATA MINING; DATA REDUCTION; HYBRID SENSORS; MATHEMATICAL MODELS; MINING; SALES; SELF ORGANIZING MAPS; STRENGTH OF MATERIALS; ULTRAHIGH MOLECULAR WEIGHT POLYETHYLENES;

BACKPROPAGATION;

EID: 69249209759     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.05.032     Document Type: Article

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