Research on Frequent Flyer Churn Early Warning in Civil Aviation Based on Predictive Value

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 176)

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.

Keywords

airline frequent flyer churn early warning predictive value 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Collage of Information and Electrical EngineeringShenyang Agricultural UniversityShenyangChina
  2. 2.School of Economic & ManagementShenyang Aerospace UniversityShenyangChina

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