Abstract
Frequent flyer is important part of gain in airline and airport, the struggle for which becomes increasingly prominent today. The frequent flyer churn will cause problems of increasing marketing costs and decreasing profits for civil aviation. After construction of passenger flying record data mining model, a kind of airline frequent flyer churn early warning model based on predictive value method was presented. The early warning data collection and cleaning system was also built to catch spending data of passengers to achieve the target of capture early warning passengers and reduce frequent flyer churn rate, so as to retain flyers to high-end under limited investment of resources.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wei, L., Ji, J., Zhao, B. (2012). Research on Frequent Flyer Churn Early Warning in Civil Aviation Based on Predictive Value. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31507-7_3
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DOI: https://doi.org/10.1007/978-3-642-31507-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31506-0
Online ISBN: 978-3-642-31507-7
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