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بررسی کاربردهای داده‌کاوی در مدیریت مشتریان شرکت‌های هواپیمایی
[Data mining for managing customers of airline companies]

Author

Listed:
  • Mahdiani, Pegah
  • Ranjbarfard, Mina

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.

Suggested Citation

  • Mahdiani, Pegah & Ranjbarfard, Mina, 2018. "بررسی کاربردهای داده‌کاوی در مدیریت مشتریان شرکت‌های هواپیمایی [Data mining for managing customers of airline companies]," MPRA Paper 114737, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:114737
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    File URL: https://mpra.ub.uni-muenchen.de/114737/1/MPRA_paper_114737.pdf
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    References listed on IDEAS

    as
    1. Nassiri, Habibollah & Rezaei, Ali, 2012. "Air itinerary choice in a low-frequency market: A decision rule approach," Journal of Air Transport Management, Elsevier, vol. 18(1), pages 34-37.
    2. Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    data mining application; airline industry; DRSA technique; customer relationship management.;
    All these keywords.

    JEL classification:

    • N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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