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:	Nilam Nur Amir, Sjarif, Muhammad Rusydi, Mohd Yusof, Doris Hooi, Ten Wong, Suraya, Ya’akob, Roslina, Ibrahim, Mohd Zamri, Osman
Format:	Article
Language:	English
Published:	Soft Computing Research Group, UTM Malaysia 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25630/ http://umpir.ump.edu.my/id/eprint/25630/ http://umpir.ump.edu.my/id/eprint/25630/1/A%20Customer%20Churn%20Prediction%20using%20Pearson.pdf

id	ump-25630
recordtype	eprints
spelling	ump-256302019-08-14T03:52:02Z http://umpir.ump.edu.my/id/eprint/25630/ A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry Nilam Nur Amir, Sjarif Muhammad Rusydi, Mohd Yusof Doris Hooi, Ten Wong Suraya, Ya’akob Roslina, Ibrahim Mohd Zamri, Osman TK Electrical engineering. Electronics Nuclear engineering 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%. Soft Computing Research Group, UTM Malaysia 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25630/1/A%20Customer%20Churn%20Prediction%20using%20Pearson.pdf Nilam Nur Amir, Sjarif and Muhammad Rusydi, Mohd Yusof and Doris Hooi, Ten Wong and Suraya, Ya’akob and Roslina, Ibrahim and Mohd Zamri, Osman (2019) A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry. International Journal of Advances in Soft Computing & Its Applications, 11 (2). pp. 46-59. ISSN 2074-8523 http://home.ijasca.com/data/documents/04_Page46-59_A-Customer-Churn-Prediction-using-Pearson.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nilam Nur Amir, Sjarif Muhammad Rusydi, Mohd Yusof Doris Hooi, Ten Wong Suraya, Ya’akob Roslina, Ibrahim Mohd Zamri, Osman 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	Nilam Nur Amir, Sjarif Muhammad Rusydi, Mohd Yusof Doris Hooi, Ten Wong Suraya, Ya’akob Roslina, Ibrahim Mohd Zamri, Osman
author_facet	Nilam Nur Amir, Sjarif Muhammad Rusydi, Mohd Yusof Doris Hooi, Ten Wong Suraya, Ya’akob Roslina, Ibrahim Mohd Zamri, Osman
author_sort	Nilam Nur Amir, Sjarif
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	Soft Computing Research Group, UTM Malaysia
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25630/ http://umpir.ump.edu.my/id/eprint/25630/ http://umpir.ump.edu.my/id/eprint/25630/1/A%20Customer%20Churn%20Prediction%20using%20Pearson.pdf
first_indexed	2023-09-18T22:39:28Z
last_indexed	2023-09-18T22:39:28Z
_version_	1777416817394843648

A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry

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