Application of Random Forest, Rough Set Theory, Decision Tree and Neural Network to Detect Financial Statement Fraud - Taking Corporate Governance into Consideration

Fu Hsiang Chen, Der-Jang Chi, Jia-Yi Zhu. Application of Random Forest, Rough Set Theory, Decision Tree and Neural Network to Detect Financial Statement Fraud - Taking Corporate Governance into Consideration. In De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, editors, Intelligent Computing Theory - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Volume 8588 of Lecture Notes in Computer Science, pages 221-234, Springer, 2014. [doi]

@inproceedings{ChenCZ14-1,
  title = {Application of Random Forest, Rough Set Theory, Decision Tree and Neural Network to Detect Financial Statement Fraud - Taking Corporate Governance into Consideration},
  author = {Fu Hsiang Chen and Der-Jang Chi and Jia-Yi Zhu},
  year = {2014},
  doi = {10.1007/978-3-319-09333-8_24},
  url = {http://dx.doi.org/10.1007/978-3-319-09333-8_24},
  researchr = {https://researchr.org/publication/ChenCZ14-1},
  cites = {0},
  citedby = {0},
  pages = {221-234},
  booktitle = {Intelligent Computing Theory - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings},
  editor = {De-Shuang Huang and Vitoantonio Bevilacqua and Prashan Premaratne},
  volume = {8588},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-09332-1},
}