New insights into churn prediction in the telecommunication sector: A profit driven data mining approach

By Wouter Verbeke, Karel Dejaeger, David Martens, Joonyoung Hur, Bart Baesens. European Journal of Operational Research, 2012

447 citations recorded by the source corpus.

Subfields: Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/430a2146b47522f45bf417e17bb89922f3d9fcbc

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. Bart Baesens

In Organizational Behavior and Human Resource Management

1. Bart Baesens

Citations in the corpus

• Interpolation in Time Series : An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment (2017, methodology): “A collection of other methods has been cited and listed in [18,76]: methods based on classification (rule based classifier), statistical methods (logistic regression, Bayesian Networks, hazard proportional model also Cox’s regression) or a combination (Naïve Bayes).”
• Profit Driven Decision Trees for Churn Prediction (2017, background): “As a consequence, multiple data mining techniqes have been researched and applied within the telco industry (Verbeke et al., 2012).”