Results 211 to 220 of about 1,523,124 (234)

KNNs and Sequence Alignment for Churn Prediction

2013
Large companies interact with their customers to provide a variety of services to them. Customer service is one of the key differentiators for companies. The ability to predict if a customer will leave in order to intervene at the right time can be essential for pre-empting problems and providing high level of customer service. The problem becomes more
Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin   +3 more
openaire   +1 more source

Predicting Customer Churn at QWE Inc.

Darden Business Publishing Cases, 2017
This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition
openaire   +1 more source

Customer churn prediction for retention analysis

Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today’s corporate context, understanding and mitigating customer churn has become critical for long-term success.
Rajesh Saturi, Siripothula Rahul, Zuha Siddiqui, Rachamalla Nikhitha   +3 more
openaire   +1 more source

Hybrid model for profit-driven churn prediction based on cost minimization and return maximization

Expert Systems With Applications, 2023
Zhenkun Liu, Lifang Zhang
exaly  

Predicting Churn Rate in Companies

2023
openaire   +2 more sources

Customer churn prediction in telecommunication industry using data certainty

Journal of Business Research, 2019
Feras Al Obeidat, Adnan Amin, Jonathan Loo   +2 more
exaly  

Customer churn prediction using improved balanced random forests

Expert Systems With Applications, 2009
Xiu Li, Weiyun Ying, E W T Ngai
exaly  

Dynamic behavior based churn prediction in mobile telecom

Expert Systems With Applications, 2020
Nada Ghneim
exaly  

Building comprehensible customer churn prediction models with advanced rule induction techniques

Expert Systems With Applications, 2011
David Martens, Bart Baesens, Christophe Mues   +2 more
exaly  

Dynamic churn prediction framework with more effective use of rare event data: The case of private banking

Expert Systems With Applications, 2014
Ozden Gür Ali
exaly