id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-1781	Vasudevan, S. ; Govindan, Vediyappan ; Byeon, Haewon 	Online transaction fraud detection in the banking sector using machine learning techniques	2024	9	.pdf	application/pdf	3694	214	42	Machine learning models may aid in automating fraud detection procedures and improving the general security of financial systems by evaluating transaction data and spotting fraudulent trends. In a transaction’s dataset, the predictive variables influence how well a machine learning algorithm for transaction risk identification classifies and identifies fraudulent transactions.	cache/easat-1781.pdf	txt/easat-1781.txt