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
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Online Access:http://umpir.ump.edu.my/id/eprint/25630/1/A%20Customer%20Churn%20Prediction%20using%20Pearson.pdf
http://umpir.ump.edu.my/id/eprint/25630/
http://home.ijasca.com/data/documents/04_Page46-59_A-Customer-Churn-Prediction-using-Pearson.pdf
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Institution: Universiti Malaysia Pahang
Language: English
id my.ump.umpir.25630
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/25630/1/A%20Customer%20Churn%20Prediction%20using%20Pearson.pdf
http://umpir.ump.edu.my/id/eprint/25630/
http://home.ijasca.com/data/documents/04_Page46-59_A-Customer-Churn-Prediction-using-Pearson.pdf
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