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Enterprise subscription churn prediction
2015 IEEE International Conference on Big Data (Big Data), 2015In this paper we describe the process of building a churn prediction platform for large-scale subscription based businesses and products. These businesses are constantly innovating on customer retention methods, one of which is to predict which customer will churn in near future.
Ramakrishna Vadakattu +3 more
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Customer churn prediction in telecommunication
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015At 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
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Privacy preserving churn prediction
Proceedings of the 2009 ACM symposium on Applied Computing, 2009Churn prediction is an important component of customer retention to predict whether a current customer decides to take business elsewhere or voluntarily terminates service, so marketing campaigns can target at the potential churners for retention efforts. In this paper we provide a strategy to protect customers' privacy in churn prediction.
Shuting Xu, Shuhua Lai, Manying Qiu
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A Comparative Study for Employee Churn Prediction
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Employees are one of the most critical elements of companies. Unexpected employee turnover causes a huge cost for companies. The new recruitment process not only consumes money and time, but it also takes time for newly hired employees to contribute effectively.
Musa Berat Bahadir +3 more
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Predict Churning Customers – An Explorative Study
2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022Some 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 +2 more
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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 alternativemodeling approach using relational learning algorithms is developed to incorporate social network effectswithin a customer churn prediction setting ...
Wouter Verbeke +2 more
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Call Churn Prediction with PySpark
2019Different markets over the world are ending up progressively more saturated, with an ever-increasing number of customers swapping their enrolled benefits between contending organizations. Consequently, organizations have understood that they should center their promoting endeavors in client maintenance instead of client procurement.
Mark Sheridan Nonghuloo +4 more
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Adoption of Churn Recognition System to Predict Customer Churn
2023In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma +2 more
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Customer Churn Prediction for Telecom Services
2012 IEEE 36th Annual Computer Software and Applications Conference, 2012Customer 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 +2 more
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Customer Churn Prediction in Virtual Worlds
2015 IIAI 4th International Congress on Advanced Applied Informatics, 2015With 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 +3 more
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