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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...

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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/
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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 13.160551

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