Detection of Financial Fraudulent Activities with Machine Learning:A Case Study of Detecting Potential Tax and Invoice Fraud-Reference-Cited by-同舟云学术

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Detection of Financial Fraudulent Activities with Machine Learning:A Case Study of Detecting Potential Tax and Invoice Fraud

Published:2023-12-08 Issue: Volume:91 Page:33-39
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence
language:
Short-container-title:

Author:

Tian Maohong¹^ORCID,Liang Jian²^ORCID,Zhang Dequan³^ORCID,Zhang Xintong³^ORCID,Wang Zuo³^ORCID,Li Hualin²^ORCID

Affiliation:

1. ChongQing Institute of Engineering, China and Intelligent Application of Financial Big Data Chongqing Colleges and Universities Engineering Research Center, China and Shu Yi Xin Credit Management Co,LTD, China

2. ChongQing Institute of Engineering, China

3. Shu Yi Xin Credit Management Co,LTD, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638584.3638669

Reference17 articles.

1. Credit Risk Models using Rule-Based Methods and Machine-Learning Algorithms

2. A Survey on Credit Card Fraud Detection Using Machine Learning

3. Credit Card Fraud Detection Using Machine Learning

4. Insurance fraud detection using big data analytics;Lin X;Expert Systems with Applications,2018

5. Detecting money laundering using machine learning techniques;Liu Y;Expert Systems with Applications,2019

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