ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Predicting Customer Behavior in Telecommunications
IEEE Intelligent Systems
Recommendation method for extending subscription periods
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Computer assisted customer churn management: State-of-the-art and future trends
Computers and Operations Research
Utility based service differentiation in CDMA data networks
Wireless Networks
Employing Latent Dirichlet Allocation for fraud detection in telecommunications
Pattern Recognition Letters
Automatic hardware implementation tool for a discrete Adaboost-based decision algorithm
EURASIP Journal on Applied Signal Processing
Social ties and their relevance to churn in mobile telecom networks
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Knowledge discovery on customer churn prediction
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Expert Systems with Applications: An International Journal
Predicting credit card customer churn in banks using data mining
International Journal of Data Analysis Techniques and Strategies
Expert Systems with Applications: An International Journal
Customer churn prediction using improved balanced random forests
Expert Systems with Applications: An International Journal
Privacy preserving churn prediction
Proceedings of the 2009 ACM symposium on Applied Computing
Electronic Commerce Research and Applications
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An optimized process neural network model
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Churn prediction in telecom using a hybrid two-phase feature selection method
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
In-depth behavior understanding and use: The behavior informatics approach
Information Sciences: an International Journal
GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system
Expert Systems with Applications: An International Journal
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
Customer churn prediction --a case study in retail banking
Proceedings of the 2010 conference on Data Mining for Business Applications
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Expert Systems with Applications: An International Journal
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
Expert Systems with Applications: An International Journal
From information to operations: Service quality and customer retention
ACM Transactions on Management Information Systems (TMIS)
An intelligent customer retention system
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Predicting customer churn through interpersonal influence
Knowledge-Based Systems
Modeling Consumer Purchasing Behavior in Social Shopping Communities with Clickstream Data
International Journal of Electronic Commerce
Expert Systems with Applications: An International Journal
Churn prediction in new users of Yahoo! answers
Proceedings of the 21st international conference companion on World Wide Web
Electronic Commerce Research and Applications
Expert Systems with Applications: An International Journal
Sequential manifold learning for efficient churn prediction
Expert Systems with Applications: An International Journal
Churn management optimization with controllable marketing variables and associated management costs
Expert Systems with Applications: An International Journal
Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines
Expert Systems with Applications: An International Journal
A Joint Model of Usage and Churn in Contractual Settings
Marketing Science
The effect of user features on churn in social networks
Proceedings of the 3rd International Web Science Conference
Mobile phone customer retention strategies and Chinese e-commerce
Electronic Commerce Research and Applications
International Journal of Interdisciplinary Telecommunications and Networking
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We explore techniques from statistical machine learning to predict churn and, based on these predictions, to determine what incentives should be offered to subscribers to improve retention and maximize profitability to the carrier. The techniques include legit regression, decision trees, neural networks, and boosting. Our experiments are based on a database of nearly 47000 USA domestic subscribers and includes information about their usage, billing, credit, application, and complaint history. Our experiments show that under a wide variety of assumptions concerning the cost of intervention and the retention rate resulting from intervention, using predictive techniques to identify potential churners and offering incentives can yield significant savings to a carrier. We also show the importance of a data representation crafted by domain experts. Finally, we report on a real-world test of the techniques that validate our simulation experiments