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. In our research work we use Graph Neural Network and Autoencoder for fraud and anomaly detection in credit cards. The results of our study is useful in aid financial organizations, especially banks to achieving an adequate understanding of deep learning with business intelligence. In our study we take banks as a case study which assists banking system to determine the gap between current operational methods and emerging procedures that utilize deep learning and business intelligence to detect fraud. In order to detect credit card fraud, we define the problem as a semi-supervised node classification job and describe credit card behaviors as a temporal transaction graph. By using brand new attribute and driven temporal graph neural network we can detect credit card fraud. In our paper we use Python and ProM software to simulate for the analysis purpose to boost the efficiency. At the end we conclude that deep learning with business intelligence offers feasible explanations for the various business domains and by using artificial intelligence with deep learning in business intelligence we can achieve our targets more efficiently.