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

ISBN: ISSN 2313-7525 (print)
Системен №: 11157
Допълнителна сигнатура: A 32

Действия

Виж още

Търговия 4.0 - наука, практика и образование

(2018)

Чети онлайн

Информационните технологии в бизнеса и образованието

(2014)

Чети онлайн

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

Aleksandrova, Y. 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, Y. (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).

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

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