Customer churn classification in telecommunication company using rough set theory

Churn is perceived as the behaviour of a customer to leave or to terminate a service. This behaviour causes the loss of profit to companies because acquiring new customer incurred high investment for advertisements and promotions compared to retaining existing ones. Thus, it is necessary to consider...

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Main Author:	Nur Syafiqah, Mohd Nafis
Format:	Thesis
Language:	English English English
Published:	2016
Subjects:	QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/16930/ http://umpir.ump.edu.my/id/eprint/16930/ http://umpir.ump.edu.my/id/eprint/16930/1/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/16930/7/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20abstract.pdf http://umpir.ump.edu.my/id/eprint/16930/13/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20references.pdf

id	ump-16930
recordtype	eprints
spelling	ump-169302017-04-03T03:59:07Z http://umpir.ump.edu.my/id/eprint/16930/ Customer churn classification in telecommunication company using rough set theory Nur Syafiqah, Mohd Nafis QA Mathematics QA75 Electronic computers. Computer science Churn is perceived as the behaviour of a customer to leave or to terminate a service. This behaviour causes the loss of profit to companies because acquiring new customer incurred high investment for advertisements and promotions compared to retaining existing ones. Thus, it is necessary to consider an efficient classification model to reduce the rate of churn. In the traditional approach of classification modelling, it do not produce straightforward result interpretation. Therefore, identifying the best classification model to reduce the rate of churn is indeed a challenging task. The main objective of this thesis is to propose a new classification model based on the Rough Set Theory to classify customer churn. This research utilized the Knowledge Discovery in Database (KDD) process involving data pre-processing, data discretization, attribute reduction, rule generation, classification process, as well as data analysis, using the Rough Set toolkit. The Rough Set theory elements consist of indiscernibility relation, lower and upper approximations, as well as reduction set. Those elements are applied to classify customer chum from uncertain and imprecise dataset. The results of the proposed model are compared with a few established existing approaches. The results of the study show that the proposed classification model outperformed the existing models and contributes to significant accuracy improvement. The model is tested using dataset form local telecommunication company which achieves 90.32%. In conclusion, the results proved that the classification model based on Rough Set Theory had been capable to classify customer chum compared to the existing model. 2016 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16930/1/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16930/7/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16930/13/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20references.pdf Nur Syafiqah, Mohd Nafis (2016) Customer churn classification in telecommunication company using rough set theory. Masters thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:98325&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	QA Mathematics QA75 Electronic computers. Computer science
spellingShingle	QA Mathematics QA75 Electronic computers. Computer science Nur Syafiqah, Mohd Nafis Customer churn classification in telecommunication company using rough set theory
description	Churn is perceived as the behaviour of a customer to leave or to terminate a service. This behaviour causes the loss of profit to companies because acquiring new customer incurred high investment for advertisements and promotions compared to retaining existing ones. Thus, it is necessary to consider an efficient classification model to reduce the rate of churn. In the traditional approach of classification modelling, it do not produce straightforward result interpretation. Therefore, identifying the best classification model to reduce the rate of churn is indeed a challenging task. The main objective of this thesis is to propose a new classification model based on the Rough Set Theory to classify customer churn. This research utilized the Knowledge Discovery in Database (KDD) process involving data pre-processing, data discretization, attribute reduction, rule generation, classification process, as well as data analysis, using the Rough Set toolkit. The Rough Set theory elements consist of indiscernibility relation, lower and upper approximations, as well as reduction set. Those elements are applied to classify customer chum from uncertain and imprecise dataset. The results of the proposed model are compared with a few established existing approaches. The results of the study show that the proposed classification model outperformed the existing models and contributes to significant accuracy improvement. The model is tested using dataset form local telecommunication company which achieves 90.32%. In conclusion, the results proved that the classification model based on Rough Set Theory had been capable to classify customer chum compared to the existing model.
format	Thesis
author	Nur Syafiqah, Mohd Nafis
author_facet	Nur Syafiqah, Mohd Nafis
author_sort	Nur Syafiqah, Mohd Nafis
title	Customer churn classification in telecommunication company using rough set theory
title_short	Customer churn classification in telecommunication company using rough set theory
title_full	Customer churn classification in telecommunication company using rough set theory
title_fullStr	Customer churn classification in telecommunication company using rough set theory
title_full_unstemmed	Customer churn classification in telecommunication company using rough set theory
title_sort	customer churn classification in telecommunication company using rough set theory
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/16930/ http://umpir.ump.edu.my/id/eprint/16930/ http://umpir.ump.edu.my/id/eprint/16930/1/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/16930/7/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20abstract.pdf http://umpir.ump.edu.my/id/eprint/16930/13/Customer%20churn%20classification%20in%20telecommunication%20company%20using%20rough%20set%20theory%20-%20references.pdf
first_indexed	2023-09-18T22:23:02Z
last_indexed	2023-09-18T22:23:02Z
_version_	1777415783337426944

Customer churn classification in telecommunication company using rough set theory

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