Awesome Collection of Fraud Detection Papers Trustworthy Machine Learning Social Networks and Web Security and Privacy Attention与Transformer传送门 目录 一、概述 Overview 常见反欺诈模型策略总结: [Worldline 信用卡交易反欺诈模型综述] Context-aware credit card fraud detection ...
TEJU: Fraud Detection and Improving Classification Performance for Bankruptcy Datasets Using Machine Learning TechniquesFraud detection is one the major challenge problem. In this paper addressing of problem is fraud detection and improving performance. The fraudulent are changin...
ML-based fraud detection.However, there are also subtle and hidden events in user behavior that may not be evident, but still signal possible fraud. Machine learning allows for creating algorithms that process large datasets with many variables and help find these hidden co...
“support vector machine (SVM)” (11 repetitions), “machine-learning” (10 repetitions), and “credit card fraud detection” (9 repetitions). A special focus has been placed on the topic of artificial intelligence (ML), in addition to algorithms and/or supervised learning models such as deci...
Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits. Addressing this issue, this study presents a literature review on financial fraud detection thro
BLOCKCHAIN AND MACHINE LEARNING FOR DATA ANALYTICS, PRIVACY PRESERVING, AND SECURITY IN FRAUD DETECTION 来自 EBSCO 喜欢 0 阅读量: 3 作者:A Dubey,S Choubey 摘要: Blockchain technology has emerged as a revolutionary distributed ledger system with the potential to transform various industries, ...
We observed that a few numbers of papers have been published on financial fraud detection in the past decade and it was noted that most of the researchers categorized fraud types into three main groups such as Bank, Insurance, Financial statement fraud. Hence, a new fraud type called ...
Fig. 2. Framework for the literature analysis and classification of GBAD fraud detection papers. Note: Numbers refer to the subsections in this paper, e.g., 4.5 means Section 4.5 of this paper. 4. Classification framework Along with the sequence of the nine guiding questions stated in Sectio...
143 papers with code • 12 benchmarks • 12 datasets Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, ...
Anomaly detection related books, papers, videos, and toolboxes machine-learningdata-miningawesomeawesome-listoutlier-detectionunsupervised-learningfraud-detectiontime-series-analysisanomaly-detectionfraudoutlieroutlier-ensemblesgraph-neural-networks UpdatedDec 21, 2024 ...