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Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems. [PDF]
Front Big DataGrote A, Hariharan A, Weinhardt C.
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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 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 ...
David Martens +2 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 +3 more
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Customer churn prediction for web browsers [PDF]
Expert Systems with Applications, 2022 In the competitive web browser market, identifying potential churners is critical to decreasing the loss of existing customers. Churn prediction based on customer behaviors plays a vital role in customer retention strategies.
Xing Wu 0001 +5 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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Customer churn prediction in the telecommunication sector using a rough set approach
Neurocomputing, 2017 Customer churn is a critical and challenging problem affecting business and industry, in particular, the rapidly growing, highly competitive telecommunication sector. It is of substantial interest to both academic researchers and industrial practitioners,
Adnan Amin, Kaizhu Huang, Amir Hussain
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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
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Customer churn prediction in telecommunications
Expert Systems with Applications, 2012This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc.
Bing Quan Huang +2 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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ADTreesLogit model for customer churn prediction
Annals of Operations Research, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Y +7 more
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