Customer churn prediction in imbalanced datasets with resampling methods: A comparative study

Author:

Haddadi Seyed JamalORCID,Farshidvard Aida,Silva Fillipe dos Santos,dos Reis Julio Cesar,da Silva Reis Marcelo

Publisher

Elsevier BV

Reference89 articles.

1. Applying support vector machines to imbalanced datasets;Akbani,2004

2. Churn prediction in telecommunication industry: A systematic review;Akter;Journal of Ambient Intelligence and Humanized Computing,2021

3. Optimization algorithms and investment portfolio analytics with machine learning techniques under time-varying liquidity constraints;Al Janabi;Journal of Modelling in Management,2022

4. Customer churn prediction using deep learning models;Almeida;Expert Systems with Applications,2019

5. Gradient boosting machine;Ayyadevara;Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R,2018

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