Using data-driven methods to detect financial statement fraud in the real scenario-Reference-Cited by-同舟云学术

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Using data-driven methods to detect financial statement fraud in the real scenario

Published:2024-09 Issue: Volume:54 Page:100693
ISSN:1467-0895
Container-title:International Journal of Accounting Information Systems
language:en
Short-container-title:International Journal of Accounting Information Systems

Author:

Zhou Ying,Xiao Zhi,Gao Ruize^ORCID,Wang Chang

Publisher

Elsevier BV

Reference61 articles.

1. MetaFraud: A meta-learning framework for detecting financial fraud;Abbasi;MIS Q.,2012

2. ACFE, 2022, Occupational fraud 2022: A report to the nations.

3. Using machine learning Meta-Classifiers to detect financial frauds;Achakzai;Finance Res. Lett.,2022

4. Editorial —Big data, data science, and analytics: the opportunity and challenge for IS research;Agarwal;Inf. Syst. Res.,2014

5. Detecting accounting fraud in publicly traded U.S. Firms using a machine learning approach;Bao;J. Account. Res.,2020

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