Staff View: A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry

A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry

Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and...

Full description

Saved in:

Bibliographic Details
Main Authors:	Sjarif, N. N. A., Yusof, M. R. M., Wong, D. H. T., Ya'akob, S., Ibrahim, R., Osman, M. Z.
Format:	Article
Published:	International Center for Scientific Research and Studies 2019
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/89617/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.89617
record_format	eprints
spelling	my.utm.896172021-02-09T05:01:13Z http://eprints.utm.my/id/eprint/89617/ A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry Sjarif, N. N. A. Yusof, M. R. M. Wong, D. H. T. Ya'akob, S. Ibrahim, R. Osman, M. Z. T Technology (General) Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. The algorithm is validated via training and testing dataset with the ratio 70:30. Based on experiment, the result shows that the K Nearest Neighbor algorithm performs well compared to the others with the accuracy for training is 80.45% and testing 97.78%. International Center for Scientific Research and Studies 2019-07 Article PeerReviewed Sjarif, N. N. A. and Yusof, M. R. M. and Wong, D. H. T. and Ya'akob, S. and Ibrahim, R. and Osman, M. Z. (2019) A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry. International Journal of Advances in Soft Computing and its Applications, 11 (2). pp. 46-59. ISSN 2074-8523
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	T Technology (General)
spellingShingle	T Technology (General) Sjarif, N. N. A. Yusof, M. R. M. Wong, D. H. T. Ya'akob, S. Ibrahim, R. Osman, M. Z. A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
description	Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. The algorithm is validated via training and testing dataset with the ratio 70:30. Based on experiment, the result shows that the K Nearest Neighbor algorithm performs well compared to the others with the accuracy for training is 80.45% and testing 97.78%.
format	Article
author	Sjarif, N. N. A. Yusof, M. R. M. Wong, D. H. T. Ya'akob, S. Ibrahim, R. Osman, M. Z.
author_facet	Sjarif, N. N. A. Yusof, M. R. M. Wong, D. H. T. Ya'akob, S. Ibrahim, R. Osman, M. Z.
author_sort	Sjarif, N. N. A.
title	A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
title_short	A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
title_full	A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
title_fullStr	A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
title_full_unstemmed	A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
title_sort	customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
publisher	International Center for Scientific Research and Studies
publishDate	2019
url	http://eprints.utm.my/id/eprint/89617/
_version_	1691733107908018176
score	13.211869

A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry

Similar Items