Customer churn prediction by hybrid neural networks

By Chih-Fong Tsai, Yu-Hsin Lu. Expert systems with applications, 2009

316 citations recorded by the source corpus.

Subfields: Information Systems, Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/93eac5430c6b55bf2fdc1b9f318f92b3e96b67e9

How researchers see this paper

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

In Marketing

1. Thorsten Strufe
2. Conor Hayes
3. Marcel Karnstedt
4. Jeffrey Chan
5. Tara Hennessy
6. Partha Basuchowdhuri

In Organizational Behavior and Human Resource Management

1. Thorsten Strufe
2. Conor Hayes
3. Marcel Karnstedt
4. Jeffrey Chan
5. Tara Hennessy
6. Partha Basuchowdhuri

Citations in the corpus

• Churn in Social Networks (2010, methodology): “Several concrete techniques for feature selection are applying clustering techniques, such as k-nearest neighbours (kNN) techniques [14] and self-organising maps (SOM) [65], on the values of feature.”