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Yanka Aleksandrova

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Author: Yanka AleksandrovaYear: 2018clear all
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SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
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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
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