Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin

One of the main objectives of modeling customer churn is to determine the causal factors, so that the company can try to prevent the attrition from happening in the future. Churn prediction for mobile telecoms companies is quite complicated but chum is very important as it is a measure of customer l...

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Main Author:	Husin, Hapida
Format:	Thesis
Language:	English
Published:	2008
Online Access:	https://ir.uitm.edu.my/id/eprint/63721/1/63721.pdf
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id	my-uitm-ir.63721
record_format	uketd_dc
spelling	my-uitm-ir.637212024-03-25T08:13:35Z Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin 2008 Husin, Hapida One of the main objectives of modeling customer churn is to determine the causal factors, so that the company can try to prevent the attrition from happening in the future. Churn prediction for mobile telecoms companies is quite complicated but chum is very important as it is a measure of customer loyalty, and therefore how stable a company's subscription revenues are likely to be if sales growth flags. This report presents the development of an application in the Artificial Neural Network (ANN). The ANN is utilised to predict the churn from a set of historical customer data from Celcom (M) Bhd. The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. At the end of the study, results showed that the developed technique is capable and feasible to be used in practical. The developed ANN can be utilised for predicting churn and the system stability can be evaluated using new set of data. 2008 Thesis https://ir.uitm.edu.my/id/eprint/63721/ https://ir.uitm.edu.my/id/eprint/63721/1/63721.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Ibrahim, Zaidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ibrahim, Zaidah
description	One of the main objectives of modeling customer churn is to determine the causal factors, so that the company can try to prevent the attrition from happening in the future. Churn prediction for mobile telecoms companies is quite complicated but chum is very important as it is a measure of customer loyalty, and therefore how stable a company's subscription revenues are likely to be if sales growth flags. This report presents the development of an application in the Artificial Neural Network (ANN). The ANN is utilised to predict the churn from a set of historical customer data from Celcom (M) Bhd. The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. At the end of the study, results showed that the developed technique is capable and feasible to be used in practical. The developed ANN can be utilised for predicting churn and the system stability can be evaluated using new set of data.
format	Thesis
qualification_level	Master's degree
author	Husin, Hapida
spellingShingle	Husin, Hapida Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
author_facet	Husin, Hapida
author_sort	Husin, Hapida
title	Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
title_short	Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
title_full	Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
title_fullStr	Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
title_full_unstemmed	Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
title_sort	back propagation neural network approach for churn prediction: a case study in celcom (m) berhad / hapida husin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/63721/1/63721.pdf
_version_	1804889658120732672

Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin

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