A comparison of machine learning techniques for customer churn prediction

By T. Vafeiadis, K. Diamantaras, George Sarigiannidis, Konstantinos Ch. Chatzisavvas. 2015

420 citations recorded by the source corpus.

Subfields: Information Systems, Marketing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Sherif Sakr
2. Radwa El Shawi
3. Mohamed Maher

Citations in the corpus

• Automated Machine Learning: State-of-The-Art and Open Challenges (2019, background): “data scientist in each of these steps affect the performance and the quality of the developed model [122, 100, 95].”