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Open AccessArticle
11 Pages, 1,752 KB Download PDF

An Adaptive Heterogeneous Ensemble Learning Model for Credit Card Fraud Detection

Advances in Science, Technology and Engineering Systems Journal, Volume 9, Issue 3, Page # 01–11, 2024; DOI: 10.25046/aj090301
Abstract:

The proliferation of internet economies has given the corporate world manifold advantages to businesses, as they can now incorporate the latest innovations into their operations, thereby enhancing ease of doing business. For instance, financial institutions have leveraged credit card usage on the aforesaid proliferation. However, this exposes clients to cybercrime, as fraudsters always find ways…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
11 Pages, 1,302 KB Download PDF

Generalized Linear Model for Predicting the Credit Card Default Payment Risk

Advances in Science, Technology and Engineering Systems Journal, Volume 7, Issue 3, Page # 51–61, 2022; DOI: 10.25046/aj070306
Abstract:

Predicting the credit card default is important to the bank and other lenders. The credit default risk directly affects the interest charged to the borrower and the business decision of the lenders. However, very little research about this problem used the Generalized Linear Model (GLM). In this paper, we apply the GLM to predict the…

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(This article belongs to the SP13 (Special Issue on Innovation in Computing, Engineering Science & Technology 2022) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 784 KB Download PDF

Aggrandized Random Forest to Detect the Credit Card Frauds

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 4, Page # 121–127, 2019; DOI: 10.25046/aj040414
Abstract:

From the collection of supervised machine learning technique, an ensemble procedure is used in Random Forest. In the arena of Data mining, there is an excellent claim for machine learning techniques. Random Forest has tremendous latent of becoming a widespread technique for forthcoming classifiers as its performance has been found analogous with ensemble techniques bagging…

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(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Interdisciplinary Applications of Computer Science (CSI))

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