709 436
Full Length Article
American Journal of Business and Operations Research
Volume 5 , Issue 1, PP: 21-30 , 2021 | Cite this article as | XML |PDF

Title

Classification Models for Bank Marketing Campaign: Towards Smart Bank Marketing

Authors Names :   Ahmad Freij   1 *  

1  Affiliation :  American University in the Emirates, Dubai, UAE

    Email :  Afreij790@gmail.com



Doi   :   https://doi.org/10.54216/AJBOR.050102

Received: April 22, 2021 Accepted: September 14, 2021

Abstract :

In this paper, we have proposed two models of marketing classification which are Support Vector Machine (SVM) and Linear regression, these two models are the most popular and useful models of classification. In this paper, we represent how these two models are used for a case study of a bank marketing campaign, the dataset is related to a bank marketing campaign, and for Applying the machine learning models of classification, the RapidMiner software was used.

Keywords :

Bank Marketing , Machine Learning , Artificial Intelligence , Smart E-Banking , Business Intelligence , Classification , E-Marketing.

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Cite this Article as :
Ahmad Freij, Classification Models for Bank Marketing Campaign: Towards Smart Bank Marketing, American Journal of Business and Operations Research, Vol. 5 , No. 1 , (2021) : 21-30 (Doi   :  https://doi.org/10.54216/AJBOR.050102)