Utilization of AI for Streamlining and Optimizing Credit Decision Process and Security Access Loan Risks in the Banking Sector

Author:

Reddy G Divakara1,Saxena Shweta2,Tinggi Eliza Sekolah3,Isabels K. Ruth4,Rathnakar G.5,Turar Uzakbayev6

Affiliation:

1. Vels Institute of Science Technology & Advanced Studies (VISTAS),Department of Commerce,India

2. Amity university,Department of Management,Gwalior,MP,India

3. Perpajakan Indonesia,Indonesia

4. Saveetha Engineering College (Autonomous),Department of Mathematics,India

5. Kakatiya Institute of Technology and Science,Department of Management,India

6. International Education Corporation,Department of Design,Almaty,Kazakhstan

Publisher

IEEE

Reference20 articles.

1. Comparative Evaluation of Credit Card Fraud Detection Using Machine Learning Techniques

2. Intelligent financial fraud detection: A comprehensive review

3. Improved Fraud Detection in e-Commerce Transactions;jishashaji;2nd International Conference on Communication Systems Computing and IT Applications (CSC),0

4. Detection of credit card fraud: state of the art;segal;International Journal of Computer Science and Network Security,2018

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1. The Crisis of Artificial Intelligence: A New Digital Humanities Curriculum for Human-Centred AI;International Journal of Humanities and Arts Computing;2023-10

2. Securing Digital Payments a Comprehensive Analysis of AI Driven Fraud Detection with Real Time Transaction Monitoring and Anomaly Detection;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

3. Enabling Fraud Prediction on Preliminary Data Through Information Density Booster;IEEE Transactions on Information Forensics and Security;2023

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