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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry
by: Sjarif, N. N. A., et al.
Published: (2019) -
Correlated online k-nearest neighbors regressor chain for online multi-output regression
by: Wu, Zipeng, et al.
Published: (2024) -
Classification of frontal alpha asymmetry using k-Nearest Neighbor
by: Mohd. Aris, Siti Armiza, et al.
Published: (2012) -
Classification of frontal alpha asymmetry using k-Nearest neighbor
by: Siti Armiza, Mohd Aris, et al.
Published: (2012) -
Fruits recognition based on texture features and K-Nearest Neighbor
by: Kamal Ariffin, Nur Izzani, et al.
Published: (2018)