Improving E-commerce Fraud Detection via Machine Learning: Comparative Evaluation of Model Effectiveness-Reference-Cited by-同舟云学术

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Improving E-commerce Fraud Detection via Machine Learning: Comparative Evaluation of Model Effectiveness

Published:2023-12-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

T Gangalakshmi¹,Sathya V.²,Vinodhini S.³,Chandralekha E.¹,Usha V.¹,S Ravikumar¹

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Dept.of CSE,Chennai,India

2. Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College,Dept.of Computer Science and Business Systems,Chennai,India

3. Velammal Engineering College,Dept. of Information Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465515.pdf?arnumber=10465515

Reference15 articles.

1. Autonomous credit card fraud detection using machine learning approach☆

2. Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks

3. Developing ICT-enabled information processing capabilities for combatting e-commerce identity fraud: a case study of Trustev’s social fingerprinting solution;Cheng,2015

4. InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance

5. eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks

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