Methods for churn prediction in the pre-paid mobile telecommunications industry

IEEE International Conference on Communications

Volumn 2016-August, Issue , 2016, Pages 97-100

  Brandusoiu, Ionut ^a   Toderean, Gavril ^a   Beleiu, Horia ^a  

^a TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

Author keywords

Bayesian networks; call detail records; churn prediction; neural networks; principal component analysis; support vector machines; telecommunications

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; COMPETITION; DATA MINING; LEARNING ALGORITHMS; LEARNING SYSTEMS; MACHINE COMPONENTS; NEURAL NETWORKS; REGRESSION ANALYSIS; SALES; SUPPORT VECTOR MACHINES; TELECOMMUNICATION; TELECOMMUNICATION INDUSTRY;

CALL DETAIL RECORDS; CHURN PREDICTIONS; CONFUSION MATRICES; DISCRETE VARIABLES; GLOBAL COMPETITION; MOBILE TELECOMMUNICATIONS INDUSTRY; PRINCIPAL COMPONENTS; TELECOMMUNICATIONS OPERATORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84991669857     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICComm.2016.7528311     Document Type: Conference Paper

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