Impact of Application of Data Mining in the Lebanese Banking Sector

Kamel Hassan Kalakech and HasanYousef El-Mousawi

International Journal of Economics and Finance, 2019, vol. 11, issue 8, 101

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.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ccsenet.org/journal/index.php/ijef/article/download/0/0/40268/41440 (application/pdf)
http://www.ccsenet.org/journal/index.php/ijef/article/view/0/40268 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijefaa:v:11:y:2019:i:8:p:101

Access Statistics for this article

More articles in International Journal of Economics and Finance from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().