Mining airline data for CRM strategies
In this paper, we apply data mining techniques to real airline frequent flyer data in order to derive customer relationship management (CRM) recommendations and strategies. Clustering techniques group customers by services, mileage, and membership. Association rules techniques locate associations be...
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| Format: | conferenceObject |
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2007
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| Online Access: | http://hdl.handle.net/10725/7979 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://dl.acm.org/citation.cfm?id=1353922 |
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