A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

Anuj Sharma; P. Panigrahi

DOI:10.5120/3344-4605 10.5120/3344-4605 10.5120/3344-4605 10.5120/3344-4605 10.5120/3344-4605

Corpus ID: 11312596

A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

@article{Sharma2013ANN,
  title={A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services},
  author={Anuj Sharma and P. Panigrahi},
  journal={ArXiv},
  year={2013},
  volume={abs/1309.3945}
}

Anuj Sharma, P. Panigrahi

Published 2013

Computer Science

ArXiv

Marketing literature states that it is more costly to engage a new customer than to retain an existing loyal customer. Churn prediction models are developed by academics and practitioners to effectively manage and control customer churn in order to retain existing customers. As churn management is an important activity for companies to retain loyal customers, the ability to correctly predict customer churn is necessary. As the cellular network services market becoming more competitive, customer… CONTINUE READING

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