alexa Churn Prediction using Complaints Data
Engineering

Engineering

Journal of Telecommunications System & Management

Author(s): Hadden John, Ruta Dymtr, Tiwari Ashutosh, Roy Rajkumar

Abstract Share this page

The aim of this paper is to identify the most suitable model for churn prediction based on three different techniques. The paper identifies the variables that affect churn in reverence of customer complaints data and provides a comparative analysis of neural networks, regression trees and regression in their capabilities of predicting customer churn.

  • To read the full article Visit
  • Subscription
This article was published in Proceedings of world academy of science engineering and technology and referenced in Journal of Telecommunications System & Management

Relevant Expert PPTs

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords