Results 161 to 170 of about 9,240 (196)

Social network analysis for customer churn prediction

Applied Soft Computing Journal, 2014
This study examines the use of social network information for customer churn prediction. An alternative modeling approach using relational learning algorithms is developed to incorporate social network effects within a customer churn prediction setting, in order to handle large scale networks, a time dependent class label, and a skewed class ...
Wouter Verbeke, David Martens, Bart Baesens   +2 more
exaly   +4 more sources

Predict Churning Customers – An Explorative Study

2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022
Some banks and business managers are facing the problem of customer credit card attrition. Therefore, it was necessary to identify new strategies for banks and business managers to keep their customers satisfied. In this paper, we analyze the data from a fictitious data source available on Kaggle, to find out the reason behind this and to predict ...
Ferreira, Tomás, Pita, Pedro, Brito, Isabel   +2 more
openaire   +3 more sources

Customer Churn Prediction [PDF]

, 2020
Churned customers identification plays an essential role for the functioning and growth of any business. Identification of churned customers can help the business to know the reasons for the churn and they can plan their market strategies accordingly to enhance the growth of a business. This research is aimed at developing a machine learning model that
openaire   +1 more source

Customer churn prediction in telecommunication

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
At recent years, estimating the churners before they leave has gained importance in environment of increased competition in company strategy. In this paper, churners are tried to detect by using data mining classification techniques. Attribute reductions are tried for decreasing the runtime and increasing achievement of models and performance was ...
Mumin Yildiz, Songul Albayrak
openaire   +1 more source

ADTreesLogit model for customer churn prediction

Annals of Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Y, Li, L, Qi, J, Zhang, L, Liu, Y, Liang, L, Li, H, Shen, Y   +7 more
openaire   +4 more sources

Customer Churn Prediction for Telecom Services

2012 IEEE 36th Annual Computer Software and Applications Conference, 2012
Customer churn is a big concern for telecom service providers due to its associated costs. This short paper briefly explains our ongoing work on customer churn prediction for telecom services. We are working on data mining methods to accurately predict customers who will change and turn to another provider for the same or similar service.
Utku Yabas, Hakki C. Cankaya, Turker Ince   +2 more
openaire   +1 more source

Customer Churn Prediction in Virtual Worlds

2015 IIAI 4th International Congress on Advanced Applied Informatics, 2015
With the emerging of social network websites, more and more social network online games are booming. Players have more alternatives of VWs games, while platform providers suffer from the problems of high customer turnover rate and low-customer-loyalty.
Hsiu-Yu Liao, Kuan-Yu Chen, Duen-Ren Liu, Yi-Ling Chiu   +3 more
openaire   +1 more source

TreeLogit Model for Customer Churn Prediction

2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006
For the purpose of improving the predictive accuracy and interpret ability of churn prediction model, TreeLogit model, which integrates the advantage of AD tree model and logistic regression model, is proposed in this paper to predict customers' churn propensities.
Jiayin Qi, Yangming Zhang, Yingying Zhang, Shuang Shi   +3 more
openaire   +1 more source

Predicting Customer Churn for Insurance Data

2020
Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. One aspect of this is applying a customer lifetime value to each client which effectively forms a fine-grained ranking of every customer in their database. This is used to focus marketing and sales budgets and, in turn, generate a
Michael Scriney, Dongyun Nie, Mark Roantree   +2 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