Automatic Card Fraud Detection Based on Decision Tree Algorithm
This paper delves into the analysis of card fraud within the banking system. Its aim is to gain a comprehensive understanding of fraud in the banking sector and explore effective detection techniques. The paper examines advanced techniques such as data analysis, automatic learning algorithms, and re...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2385249 |
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| _version_ | 1850255227570094080 |
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| author | Elena Flondor Liliana Donath Mihaela Neamtu |
| author_facet | Elena Flondor Liliana Donath Mihaela Neamtu |
| author_sort | Elena Flondor |
| collection | DOAJ |
| description | This paper delves into the analysis of card fraud within the banking system. Its aim is to gain a comprehensive understanding of fraud in the banking sector and explore effective detection techniques. The paper examines advanced techniques such as data analysis, automatic learning algorithms, and real-time monitoring systems to detect suspicious patterns, anomalies, and deviations from normal behavior with precision. To achieve this, the research methodology employs a combination of qualitative and quantitative analysis. Furthermore, empirical research is conducted to evaluate the effectiveness of Machine Learning-based decision tree algorithms in identifying card fraud using real-world datasets. By understanding the nature of fraud and implementing robust detection methods, banks can safeguard their operations, assets, and customers, and uphold trust in the banking system. |
| format | Article |
| id | doaj-art-ba70ecd919e04803b20c05a6c0bfba4c |
| institution | OA Journals |
| issn | 0883-9514 1087-6545 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj-art-ba70ecd919e04803b20c05a6c0bfba4c2025-08-20T01:56:56ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452024-12-0138110.1080/08839514.2024.2385249Automatic Card Fraud Detection Based on Decision Tree AlgorithmElena Flondor0Liliana Donath1Mihaela Neamtu2Faculty of Mathematics and Computer Science, West University of Timisoara, Timisoara, RomaniaFaculty of Economics and Business Administration, West University of Timisoara, Timisoara, RomaniaFaculty of Economics and Business Administration, West University of Timisoara, Timisoara, RomaniaThis paper delves into the analysis of card fraud within the banking system. Its aim is to gain a comprehensive understanding of fraud in the banking sector and explore effective detection techniques. The paper examines advanced techniques such as data analysis, automatic learning algorithms, and real-time monitoring systems to detect suspicious patterns, anomalies, and deviations from normal behavior with precision. To achieve this, the research methodology employs a combination of qualitative and quantitative analysis. Furthermore, empirical research is conducted to evaluate the effectiveness of Machine Learning-based decision tree algorithms in identifying card fraud using real-world datasets. By understanding the nature of fraud and implementing robust detection methods, banks can safeguard their operations, assets, and customers, and uphold trust in the banking system.https://www.tandfonline.com/doi/10.1080/08839514.2024.2385249 |
| spellingShingle | Elena Flondor Liliana Donath Mihaela Neamtu Automatic Card Fraud Detection Based on Decision Tree Algorithm Applied Artificial Intelligence |
| title | Automatic Card Fraud Detection Based on Decision Tree Algorithm |
| title_full | Automatic Card Fraud Detection Based on Decision Tree Algorithm |
| title_fullStr | Automatic Card Fraud Detection Based on Decision Tree Algorithm |
| title_full_unstemmed | Automatic Card Fraud Detection Based on Decision Tree Algorithm |
| title_short | Automatic Card Fraud Detection Based on Decision Tree Algorithm |
| title_sort | automatic card fraud detection based on decision tree algorithm |
| url | https://www.tandfonline.com/doi/10.1080/08839514.2024.2385249 |
| work_keys_str_mv | AT elenaflondor automaticcardfrauddetectionbasedondecisiontreealgorithm AT lilianadonath automaticcardfrauddetectionbasedondecisiontreealgorithm AT mihaelaneamtu automaticcardfrauddetectionbasedondecisiontreealgorithm |