Mining airline data for CRM strategies

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dc.contributor.author Mansour, Nashat
dc.contributor.author Maalouf, Lena
dc.date.accessioned 2018-06-04T09:43:31Z
dc.date.available 2018-06-04T09:43:31Z
dc.date.copyright 2007 en_US
dc.date.issued 2018-06-04
dc.identifier.isbn 978-960-6766-07-7 en_US
dc.identifier.uri http://hdl.handle.net/10725/7979
dc.description.abstract 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 between the services that were purchased. Our results show the different categories of customer members in the frequent flyer program. For each group of these customers, we can analyze customer behavior and determine relevant business strategies. Knowing the preferences and buying behaviors of customers allow marketing specialists to improve campaign strategy, increase response and manage campaign costs by using targeting procedures, and facilitate cross-selling, and up-selling. en_US
dc.language.iso en en_US
dc.publisher ACM en_US
dc.title Mining airline data for CRM strategies en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 198629170 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords Airline information systems en_US
dc.keywords Customer relationship management en_US
dc.keywords Customer segmentation en_US
dc.keywords Data mining en_US
dc.keywords Decision support en_US
dc.keywords Intelligent information processing en_US
dc.identifier.ctation Maalouf, L., & Mansour, N. (2008). Mining airline data for CRM strategies. Communications of the ACS, 1(001). en_US
dc.author.email nmansour@lau.edu.lb en_US
dc.conference.date September 15 - 17, 2007 en_US
dc.conference.pages 346-351 en_US
dc.conference.place Beijing, China en_US
dc.conference.title SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://dl.acm.org/citation.cfm?id=1353922 en_US
dc.orcid.id https://orcid.org/0000-0002-3603-8284 en_US
dc.publication.date 2007 en_US
dc.author.affiliation Lebanese American University en_US

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