Please use this identifier to cite or link to this item: http://essuir.sumdu.edu.ua/handle/123456789/66319
Title: Data Mining of Operations with Card Accounts of Bank Clients
Authors: Subeh, M.A.
Яровенко, Ганна Миколаївна
Яровенко, Анна Николаевна
Yarovenko, Hanna Mykolaivna
Keywords: bank
fraud
credit card
data mining
modeling
neural network
statistica
Issue Year: 2017
Publisher: Sumy State University
Citation: Subeh, M.A. Data Mining of Operations with Card Accounts of Bank Clients [Текст] / M.A. Subeh, H. Yarovenko // Financial Markets, Institutions and Risks. - 2017. - Vol. 1, Issue 4. - P. 87-95. - DOI: 10.21272/fmir.1(4).87-95.2017.
Abstract: The article is devoted to the expediency of using the data mining and the construction of the neural network for the evaluation of transactions with card accounts for detecting attempts of frauds. The authors proposed a scheme for customer interaction with the bank when transaction is performing with the payment cards. The process is carried out using the verification module with data mining. The article was built a neural network with using software “Statistica”. The authors selected a data set that contains amounts of transaction, time intervals, fraud identifiers. As a result, it was got a multilayer perceptron with nine inputs, five hidden neurons and two outputs that can be used to predict an attempt at fraud with card accounts of bank clients.
URI: http://essuir.sumdu.edu.ua/handle/123456789/66319
Type: Article
Appears in Collections:Financial Markets, Institutions and Risks (FMIR)

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