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Authors: Jelena Mamčenko and Jamil Gasimov

Affiliation: Vilnius Gediminas Technical University, Lithuania

ISBN: 978-989-758-027-7

Keyword(s): Data Mining, Churn Detection, Neural Network, Cox Regression, Decision Tree, Combined Model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

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 several formats:
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 3: ICEIS, ISBN 978-989-758-027-7, pages 233-240. DOI: 10.5220/0004896002330240

@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 3: ICEIS,},
year={2014},
pages={233-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004896002330240},
isbn={978-989-758-027-7},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: 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

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