Volume 21, Issue 1 (JIAEEE Vol.21 No.1 2024)
Journal of Iranian Association of Electrical and Electronics Engineers 2024, 21(1): 121-134 |
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Sahandjami M, Morteza Mohammadi Zanjireh M, Bahaghighat M, Hadizadeh M. Prediction of effective management of electronic banking in the ease of transmitting information using data mining techniques. Journal of Iranian Association of Electrical and Electronics Engineers 2024; 21 (1) :121-134
URL: http://jiaeee.com/article-1-1200-en.html
URL: http://jiaeee.com/article-1-1200-en.html
Imam Khomeini International University
Abstract: (1150 Views)
This paper is to provide a model for effective management of electronic banking in the ease of transmitting information using data mining techniques. The proposed model of the research is developed according to the variable factors such as data validity, internal control, system access, security, technology in Iranian banks. The stages of this study are conducted in Clementine software using 300 samples gathered from customer’s data and transactions in two major branches of the Tejarat Bank located in Tajrish and Sadeghieh (Tehran), in the 1398. The most important results of the present study are that the main predictors of the model, namely, the classification of sensitive information (D5), the existence of antivirus software (D4), network penetration testing (D3), provide a more accurate analysis and predict effective management of electronic banking in the ease of transmitting information. Finally, our achieved results show that the predictors could predict effective management of electronic banking in the ease of transmitting information using data mining techniques with 72.7% accuracy.
Keywords: Ease of transmitting information, Data mining, Electronic banking, Clementine software, IBM SPSS Modeler (Clementine)
Type of Article: Research |
Subject:
Electronic
Received: 2020/10/12 | Accepted: 2022/12/26 | Published: 2023/09/9
Received: 2020/10/12 | Accepted: 2022/12/26 | Published: 2023/09/9
Extended Abstract [PDF 231 KB] (23 Download)
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