About this document
Mining Financial Statement Fraud: An Analysis of Some Experimental Issues by riska.23436 is a document available to read on EtoBox.
This paper analyzes key experimental issues in financial statement fraud detection, focusing on problem representation, feature selection, and performance metrics. It critiques existing methods and highlights the importance of understanding these aspects to improve detection algorithms. The authors emphasize the need for further research in specific problem domains and comparative performance of various detection methods.
- Author
- riska.23436
- Language
- EN