Application of Machine Learning for Churn Prediction Based on Transactional Data (RFM Analysis)

Yanka Aleksandrova

Детайли

Източник: 18 International Multidisciplinary Scientific Geoconference SGEM 2018 : Conf. Proc., 2 - 8 July 2018, Albena, Bulgaria : Vol. 18. Informatics, Geoinformatics a. Remote Sensing. Iss. 2.1. Informatics
Издателство: STEF92 Technology Ltd.
Местоиздаване: Sofia
Година на издаване: 2018
Страници: pp. 125 - 132
Ключови думи: classification and prediction, data mining, RFM анализ

ISBN: ISSN 2313-7525 (print)

Действия

MLA (7th edition) Chicago / Turabian (16th edition) Harvard

Aleksandrova, Yanka Georgieva Application of Machine Learning for Churn Prediction Based on Transactional Data (RFM Analysis), STEF92 Technology Ltd., 2018, pp. 125 - 132, ISSN 2313-7525 (print).

Aleksandrova, Yanka Georgieva . Application of Machine Learning for Churn Prediction Based on Transactional Data (RFM Analysis). Sofia: STEF92 Technology Ltd., 2018, pp. 125 - 132, ISSN 2313-7525 (print).

Aleksandrova, Yanka Georgieva (2018) Application of Machine Learning for Churn Prediction Based on Transactional Data (RFM Analysis), Sofia: STEF92 Technology Ltd., pp. 125 - 132, ISSN 2313-7525 (print)

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Application of Machine Learning for Churn Prediction Based on Transactional Data (RFM Analysis)

Детайли

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Действия