Using a novel ensemble learning framework to detect financial reporting misconduct-Reference-Cited by-同舟云学术

Using a novel ensemble learning framework to detect financial reporting misconduct

Published:2023-09-14 Issue:4 Volume:10 Page:607-624
ISSN:2327-0012
Container-title:Journal of Management Analytics
language:en
Short-container-title:Journal of Management Analytics

Author:

Pan Siqi¹,Ye Qiang¹,Shi Wen²

Affiliation:

1. School of Management, Harbin Institute of Technology, Harbin, People’s Republic of China

2. School of Electrical and Information, Northeast Agricultural University, Harbin, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Business, Management and Accounting (miscellaneous),Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/23270012.2023.2258372

Reference41 articles.

1. MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud

2. Financial reporting fraud and other forms of misconduct: a multidisciplinary review of the literature

3. FinTech in Western Asia: Case of Iran

4. Evaluating the mission: A critical review of the history and evolution of the SEC enforcement program;Atkins P. S.;Fordham Journal of Corporate & Financial Law,2008

5. Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach

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