Customer Churn Prediction in Mobile Operator Using Combined Model

Jelena Mamčenko, Jamil Gasimov

Abstract

Data Mining technologies are developing very rapidly nowadays. One of the biggest fields of application of data mining is prediction of churn in service provider companies. Customers who switch to another service provider are called churned customers. In this study are described main techniques and processes of Data Mining. Customer churn is defined, different types and causes of churn are discussed. Social aspects of churn are brought to attention and specifically related to realities of Azerbaijan.

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Paper Citation


in Harvard Style

Mamčenko J. and Gasimov J. (2014). Customer Churn Prediction in Mobile Operator Using Combined Model . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-027-7, pages 233-240. DOI: 10.5220/0004896002330240


in Bibtex Style

@conference{iceis14,
author={Jelena Mamčenko and Jamil Gasimov},
title={Customer Churn Prediction in Mobile Operator Using Combined Model},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2014},
pages={233-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004896002330240},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Customer Churn Prediction in Mobile Operator Using Combined Model
SN - 978-989-758-027-7
AU - Mamčenko J.
AU - Gasimov J.
PY - 2014
SP - 233
EP - 240
DO - 10.5220/0004896002330240