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Impact of Application of Data Mining in the Lebanese Banking Sector

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  • Kamel Hassan Kalakech
  • HasanYousef El-Mousawi

Abstract

This study aims at showing the level of implementing concepts and tools of data mining in the banking sector in Lebanon in addition to its constituent domains. The researchers adopt the descriptive-analytical method which is based on a questionnaire distributed on the society of the study. The researchers found that there is an interest in applying concepts of data mining in managing operations in the Lebanese banking sector. The researchers concluded that there is difference among the respondents’ opinions regarding applying concepts of data mining in managing operations in Lebanese banks as related to difference in experience, in job levels and in qualifications.

Suggested Citation

  • Kamel Hassan Kalakech & HasanYousef El-Mousawi, 2019. "Impact of Application of Data Mining in the Lebanese Banking Sector," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(8), pages 101-101, August.
    • Handle: RePEc:ibn:ijefaa:v:11:y:2019:i:8:p:101
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    References listed on IDEAS

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    1. Ruxandra-Stefania PETRE, 2013. "Data Mining Solutions for the Business Environment," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 4(4), pages 21-29, December.
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      JEL classification:

      • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
      • Z0 - Other Special Topics - - General

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