Title of article :
Analyzing and Investigating the Use of Electronic Payment Tools in Iran using Data Mining Techniques
Author/Authors :
Moslehi ، F. - Iran University of Science Technology , Haeri ، A.R. - Iran University of Science Technology , Moini ، A.R. - Iran University of Science Technology
Pages :
21
From page :
417
To page :
437
Abstract :
In today s world, most financial transactions are carried out using electronic instruments and in the context of information technology and internet. Disregarding the application of new technologies in this field and sufficing to traditional ways will result in financial loss and customer dis-satisfaction. The aim of the present work is to survey and analyze the use of electronic payment instruments in banks across the country using the statistics and information retrieved from the Central Bank and the data mining techniques. For this purpose, initially, according to the volume of the transactions carried out and using the K-Means algorithm, a label was dedicated to any record. Then the hidden patterns of the E-payment instrument transactions were detected using the CART algorithm. The results obtained enable bank administrators to balance their future policies in the field of E-payment and in the bank and customers’ interest direction based on the detected patterns, and provide higher quality services to their customers.
Keywords :
Banking , Data Mining , Electronic Payment Instruments , Classification , CRISP , DM
Journal title :
Journal of Artificial Intelligence Data Mining
Serial Year :
2018
Journal title :
Journal of Artificial Intelligence Data Mining
Record number :
2449346
Link To Document :
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