An Efficient Resampling Technique for Financial Statements Fraud Detection: A Comparative Study
Author:
Affiliation:
1. University of Ottawa,Knowledge Discovery and Data Mining Laboratory,Telfer School of Management,Ottawa,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252163/10252090/10253185.pdf?arnumber=10253185
Reference25 articles.
1. Financial statement fraud detection using text mining: A systemic functional linguistics theory perspective;dong;PACIS 2016 Proceedings,2016
2. Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports
3. Prevention and Detection of Financial Statement Fraud – An Implementation of Data Mining Framework
4. Detecting financial restatements using data mining techniques
5. Detecting Financial Statement Fraud Using Random Forest with SMOTE
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