Fraud Detection by Using Deep Learning in Mining the Information Technology for Artificial and Business Intelligence

Abstract

Deep learning with the Artificial Intelligence allows systems to cluster data and deliver results with incredible accuracy. Data mining and deep learning usually come together in business intelligence protocols with little to no human intervention to optimize data-driven decision-making. Business intelligence is a part of information technology that manages today’s business world. Whereas, globally, financial institutions use deep learning with business intelligence to control money laundering. Hence we combined deep learning famous algorithms with data mining for business intelligence to boost efficiency. Our study mainly focuses Graph Neural Network and Autoencoders Models two screwdrivers to process massive amounts of data for improving the visibility and transparency within all aspects of businesses. Through the spread of risk across transactions, we further model the fraud behaviors.

Keywords: Deep Learning, business intelligence, Data Mining, Graph Neural Network, Autoencoders