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Definition of Misclassification Cost & Redistribution Strategy of Telecom Churn Analysis
2008 Edition, December 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Telecom churn prediction is one of the key factors which closely related to the development of telecommunications business. To solve the data imbalance problem exiting in this field, traditional researches always redistribute samples according to...

Churn analysis: Predicting churners
2014 Edition, September 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Churners have always been a big issue for any service providing company. Churning increases cost of the company as well as decreases the rate of profit. Generally, customer attrition can be identified when they initiate the process of service termination....

Churn Analysis in Telecommunication Industry
2018 Edition, October 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The driving motive behind this study is to provide the telecom industries with a novel tool for analysing their prominent data. An attempt has been made to develop a classification model, which uses the telecom operator's data to predict the customer's behaviour. Every day, there are...

Deep Learning Based Customer Churn Analysis
2019 Edition, October 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Traditional customer churn is predicted by machine learning and data mining methods. The advantages of big data are not fully utilized. In this paper, we use deep learning based customer churn analysis to establish a predictive model of customer churn, to...

Product recommendation using typicality based collaborative filtering and churn analysis
2016 Edition, August 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Product recommendation is a widely used technique to attract customers and improve sales of an organization. This research proposes a novel methodology for retaining customers by combining the ideas of customer segmentation, product recommendation, and churn analysis...

Multiple Criteria Quadratic Programming for Fund Customer Churn Analysis
2011 Edition, April 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Customer churn analysis and prediction play an important role in customer relationship management and improve benefit of enterprises. In recent years, classification models based on mathematical programming have been widely applied to customer churn analysis and...

Customer churn analysis in telecom industry
2015 Edition, September 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

With the rapid development of telecommunication industry, the service providers are inclined more towards expansion of the subscriber base. To meet the need of surviving in the competitive environment, the retention of existing customers has become a huge challenge. In...

Email Users Churn Analysis Based on PMCLP and Decision Tree
2009 Edition, Volume 7, August 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The websites often attract people to be their customers, and email is one important tool to deal with that. Thus, the numbers of email users for one website is often an index to show the attraction of people to one website. In this issue, the churn analysis is essential...

Customer churn analysis for a software-as-a-service company
2017 Edition, April 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

SaaS companies generate revenues by charging recurring subscription fees for using their software services. The fast growth of SaaS companies is usually accompanied with huge upfront costs in marketing expenses targeted at their potential customers. Customer retention is a critical issue for...

Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry
2019 Edition, October 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A new method for customer churn analysis and prediction has been proposed. The method uses data mining model in banking industries. This has been inspired by the fact that there are around 1,5 million churn customers in a year which is increasing every year. Churn...

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