Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/9534
Title: Predicting the churn of telecommunication service users using open source data mining tools
Authors: Sladojević, Srđan 
Ćulibrk, Dubravko 
Crnojević, Vladimir
Issue Date: 1-Dec-2011
Journal: 2011 10th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, TELSIKS 2011 - Proceedings of Papers
Abstract: The paper presents a study focused on the problem of predicting the churn of telecommunication-service users. The Abstract - The paper presents a study focused on the problem transition of customers (users) to competitors is a significant business problem in areas with poor market differentiation of products and services, which is particularly evident in the market of telecommunication services. The paper evaluates the applicability of commonly used methods of data mining, available within a widely used data mining tool, to the problem. Experiments presented in the paper have been conducted based on real-world data provided for research purposes by Orange telecommunications company. Results indicate that boosting of simple classifiers achieves best results and that open-source tools can achieve performance very close to the best proprietary solutions. © 2011 IEEE.
URI: https://open.uns.ac.rs/handle/123456789/9534
ISBN: 9781457720161
DOI: 10.1109/TELSKS.2011.6143219
Appears in Collections:FTN Publikacije/Publications

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