A comparison of machine learning techniques for customer churn prediction

Simulation Modelling Practice and Theory

Volumn 55, Issue , 2015, Pages 1-9

  Vafeiadis, T ^a   Diamantaras, K I ^b   Sarigiannidis, G ^a   Chatzisavvas, K Ch ^a  

^a VEPE Technopolis   (Greece)

^b ALEXANDER TECHNOLOGICAL EDUCATIONAL INSTITUTE OF THESSALONIKI   (Greece)

Author keywords

Boosting algorithm; Churn prediction; Machine learning techniques

Indexed keywords

ADAPTIVE BOOSTING; ARTIFICIAL INTELLIGENCE; FORECASTING; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; MONTE CARLO METHODS; TELECOMMUNICATION INDUSTRY;

BOOSTING ALGORITHM; CHURN PREDICTIONS; COMPARATIVE STUDIES; CUSTOMER CHURN PREDICTION; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; PARAMETER COMBINATION; TELECOMMUNICATIONS INDUSTRY;

LEARNING SYSTEMS;

EID: 84961288268     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2015.03.003     Document Type: Article

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