Results 161 to 170 of about 9,076 (200)

Social network analysis for customer churn prediction

Applied Soft Computing, 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 ...
Verbeke, Wouter, Martens, D., Baesens, B.   +2 more
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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
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Customer churn prediction for retail business

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017
Customer churn happens when a customer discontinues his or her interaction with a company. In retail business, a customer is treated to be churned once his/her transactions outdate a particular amount of time. Once a customer becomes a churn, the loss incurred by the company is not just the lost revenue due to the lost customer but also the costs ...
Annapurna P Patil, M P Deepshika, Shantam Mittal, Savita Shetty, Samarth S Hiremath, Yogesh E Patil   +5 more
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Customer Churn Prediction Using Deep Learning

2021
Churn studies have been used for years to achieve profitability and to establish a sustainable customer-company relationship. Deep learning is one of the contemporary methods used in churn analysis due to its ability to process huge amounts of customer data.
Omer Faruk Seymen, Onur Dogan, Abdulkadir Hiziroglu   +2 more
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Predicting customer churn through interpersonal influence

Knowledge-Based Systems, 2012
Preventing customer churn is an important task for many enterprises and requires customer churn prediction. This paper investigates the effects of interpersonal influence on the accuracy of customer churn predictions and proposes a novel prediction model that is based on interpersonal influence and that combines the propagation process and customers ...
Xiaohang Zhang, Ji Zhu, Shuhua Xu, Yan Wan   +3 more
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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 Candan Cankaya, Turker Ince   +2 more
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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
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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
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Customer Churn Prediction in B2B Contexts

2019
While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature.
Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson   +3 more
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Predictive Modeling for Customer Churn

Customer churn is a major concern for the banking industry, where retaining existing customers is often more profitable than acquiring new ones. With increasing competition from digital banks and fintech startups, it has become vital for traditional banks to proactively identify customers who are likely to leave.
Dr. AS Arunachalam, B Sathya Moorthy
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