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Intelligent data analysis approaches to churn as a business problem: a survey

Author
García, D.; Nebot, M.; Vellido, A.
Type of activity
Journal article
Journal
Knowledge and information systems
Date of publication
2017-06
Volume
51
Number
3
First page
719
Last page
774
DOI
https://doi.org/10.1007/s10115-016-0995-z Open in new window
Repository
http://hdl.handle.net/2117/104247 Open in new window
URL
http://link.springer.com/article/10.1007/s10115-016-0995-z Open in new window
Abstract
Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing preoccupation among service-providing companies with creating stronger customer bonds. In this context, anticipating the customer’s intention to abandon the provider, a phenomenon known as churn, becomes a competitive advantage. Such anticipation can be ...
Citation
García, D., Nebot, M.A., Vellido, A. Intelligent data analysis approaches to churn as a business problem: a survey. "Knowledge and information systems", Juny 2017, vol. 51, núm. 3, p. 719-774.
Keywords
Churn analysis, Customer continuity management, Intelligent data analysis, Literature survey
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

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