2026· CITA-DW· pp. 43-55· 0 citations· 21 references
Computer Science
TL;DR
The GBoost -ADSYN, HFS-LGBM, XGBOOST graph, XGBOOST graph, XGBoost Optimized and XGBoost Optimized models show the best performance in combating bank credit card fraud, identity fraud, money laundering problem and internal fraud in banking institutions respectively.
The growing trend of digital payments in India and especially the emergence of Unified Payment Interface (UPI) is associated with a rise in the number of cases of financial fraud online. Current fraud detection techniques are based on the use of simple rule-based methods like restricting transaction amount from exceedi...
N. R., P. K., Krutika Rathnagiri et al.· International Journal of Inn...· 0 citations
This study evaluates the effectiveness of various machine learning models for detecting fraudulent online credit card transactions. It identifies that traditional methods are insufficient due to the high volume of legitimate transactions and evolving attack techniques. The research involved gathering and pre-processing...
Namrata Kumari, Dharmendra Kumar· International Workshop on Ar...· 0 citations
Detecting and preventing fraudulent financial statements is crucial to maintaining the reliability of financial markets, as such statements undermine stakeholders and disrupt healthy market functioning. This study develops an artificial intelligence–supported model to detect fraudulent financial statements of companies...
Metin Kılıç, İnci Merve Altan, Hicran Özgüner Kılıç et al.· Yönetim ve Ekonomi Araştırma...· 0 citations
In data environments with severe class imbalances, a machine learning model can be designed as an effective triage tool and its actual value is not only to predict fraud, but also to establish a low-risk release, medium-risk verification, and high-risk manual review of the decision-making process for institutions and t...
Zi-Yue Meng· Advances in Economics, Manag...· 0 citations
Now the days world become digital, credit card customers have become common; it makes the payment hassle-free. With the ease of use of credit cards; Fraudulent use of credit cards is growing as a significant affair for financial institutions and consumers on an international level. Traditional rule-based detection algo...
S. Bansal, Reena Hooda, Rohit Yadav· Journal of Commerce, Economi...· 0 citations
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