 بررسی کاربردهای دادهکاوی در مدیریت مشتریان شرکتهای هواپیماییData mining for managing customers of airline companiesPegah Mahdiani and Mina Ranjbarfard MPRA Paper from University Library of Munich, Germany Abstract: Data mining is one of the useful techniques for customer relationship management which detect customer behavior pattern from a huge volumes of data. This patterns can be helpful for decision making in areas such as aircraft industry. Applying data mining techniques on data from an airline company, existing patterns of customers can be detected and finally purposive actions for improving airline services can be taken. In this case customer churn will be reduced and customer satisfaction and loyalty will be increased along with customer retention which all lead to profit raise in long term. The main objective of this paper is to introduce data mining techniques for managing customers of airline companies which emphasize on DRSA approach in service and cost management. The result of this research can help airline companies to identify worthy customers and forecasting their future behavior which lead to better decision making. Keywords: data mining application; airline industry; DRSA technique; customer relationship management. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:114737 Access Statistics for this paper More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC. |
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