Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

Customer retention is a major issue for various service-based organizations particularly telecom industry, wherein predictive models for observing the behavior of customers are one of the great instruments in customer retention process and inferring the future behavior of the customers. However, the...

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Bibliographic Details
Main Authors: Adnan Amin, Sajid Anwar, Awais Adnan, Muhammad Nawaz, Newton Howard, Junaid Qadir, Ahmad Hawalah, Amir Hussain
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
SMOTE
ADASYN
mega trend diffusion function
class imbalance
rough set
customer churn
Online Access:https://ieeexplore.ieee.org/document/7707454/

Internet

https://ieeexplore.ieee.org/document/7707454/

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