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...

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Bibliographic Details
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

Internet

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

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