
Publication
APPLICATION OF MACHINE LEARNING FOR CHURN PREDICTION BASED ON TRANSACTIONAL DATA (RFM ANALYSIS)
(STEF92 Technology, 2018-06-20, Yanka Aleksandrova)
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Machine learning covers a wide set of supervised and unsupervised algorithms for solving prediction, classification and anomaly detection problems. One of the areas of their applications is for customer churn prediction. To build a model for predicting the switching of customers, data scientists use different demographics, social, transactional, behavioural metrics and features. At the same time, most of the small Bulgarian companies still don?t have the needed versatile and complete customer data. They rely mainl...
Informatics2018
