Machine Learning Models for Detecting Anomalies in Online Payment: A Comparative Analysis-Reference-Cited by-同舟云学术

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Machine Learning Models for Detecting Anomalies in Online Payment: A Comparative Analysis

Published:2023-09-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
language:
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Author:

Thapa Deepanshu¹,Joshi Aditya²,Pandey Neha³,Harbola Aditya⁴,Rawat Vandana²

Affiliation:

1. Graphic Era Deemed to be University,Department of Computer Applications,Dehradun,India

2. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

3. Graphic Era Deemed to be University,Department of Biotechnology,Dehradun,India

4. School of Computing, Graphic Era Hill University,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10276124.pdf?arnumber=10276124

Reference25 articles.

1. Machine Learning based Fraud Analysis and Detection System

2. A survey of anomaly detection techniques in financial domain

3. Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach

4. A Review of Credit Card Fraud Detection Using Machine Learning Techniques

5. A Survey of Outlier Detection Methodologies

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