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...
| 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/ http://umpir.ump.edu.my/id/eprint/25630/ http://umpir.ump.edu.my/id/eprint/25630/1/A%20Customer%20Churn%20Prediction%20using%20Pearson.pdf |
Similar Items
-
Interrelationship Analysis of Geopolymer Components using Pearson Correlation Technique
by: Kusbiantoro, Andri, et al.
Published: (2014) -
Categorization of Gelam, Acacia and Tualang Honey odor-profile using k-nearest neighbors
by: Nurdiyana, Zahed, et al.
Published: (2018) -
Odour-Profile Classification of Gelam, Acacia and Tualang Honey based on K-Nearest Neighbors Technique
by: Nurdiyana, Zahed, et al.
Published: (2016) -
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm
by: Mohd Hassan Wong , Fadhli Wong, et al.
Published: (2001) -
Phase diagram of the Ising model with nearest-neighbor interactions
by: Ganikhodjaev, Nasir, et al.
Published: (2011)