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:: Volume 4, Issue 7 (5-2025) ::
3 2025, 4(7): 35-47 Back to browse issues page
A Intelligent Algorithm Based on Group Classifiers for Fraud Detection in Credit Cards
Yasser Elmisola , Akram Sardarabadi
Abstract:   (86 Views)
With the rapid advancements in technology, the use of credit cards in financial activities has increased dramatically. This increase has not only helped in the ease of transactions but has also led to the emergence of fraudulent frauds. Credit card fraud is increasing rapidly due to security weaknesses in traditional processing systems and causes millions of dollars in losses annually. To combat this problem, there is a need for effective fraud detection technologies. In this research, statistical methods and machine learning algorithms are introduced as effective tools for fraud detection and are used in identifying unauthorized activities. The present research examines the challenges in fraud-related data and develops new methods for fraud detection. Instead of using individual classifiers, a stack-based group classifier is used to detect fraud. The key advantage of this method is that it is able to classify fraud independently of the type and payment channel. In this study, a dataset of credit card transactions in September 2013 was examined, which included 492 frauds out of 284,807 transactions. The results obtained show that the proposed method is able to detect frauds with high accuracy and significantly outperforms previous methods. This research is considered as an important step towards the development of intelligent systems for detecting credit card fraud and can help improve the security of financial transactions.
Keywords: Fraud detection, credit card, machine learning, random forest, data classification
Full-Text [PDF 809 kb]   (67 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/06/8 | Accepted: 2025/06/12 | Published: 2025/06/12
References
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elmisola Y, sardarabadi A. A Intelligent Algorithm Based on Group Classifiers for Fraud Detection in Credit Cards. 3 2025; 4 (7) :35-47
URL: http://jiis.iauh.ac.ir/article-1-49-en.html


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Volume 4, Issue 7 (5-2025) Back to browse issues page
فصلنامه سیستم های اطلاعاتی هوشمند Intelligent Information Systems Journal
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