Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems

Miguel Ângelo Lellis Moreira, Claudio De Souza Rocha Junior, Diogo Ferreira de Lima Silva, Marcos Alexandre Pinto de Castro Junior, Igor Pinheiro de Araújo Costa, Carlos Francisco Simões Gomes, Marcos dos Santos. Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems. In Yong Shi 0001, Jianping Li 0001, Gang Kou, Daniel Berg, James M. Tien, editors, Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China. Volume 214 of Procedia Computer Science, pages 117-124, Elsevier, 2022. [doi]

@inproceedings{MoreiraJSJCGS22,
  title = {Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems},
  author = {Miguel Ângelo Lellis Moreira and Claudio De Souza Rocha Junior and Diogo Ferreira de Lima Silva and Marcos Alexandre Pinto de Castro Junior and Igor Pinheiro de Araújo Costa and Carlos Francisco Simões Gomes and Marcos dos Santos},
  year = {2022},
  doi = {10.1016/j.procs.2022.11.156},
  url = {https://doi.org/10.1016/j.procs.2022.11.156},
  researchr = {https://researchr.org/publication/MoreiraJSJCGS22},
  cites = {0},
  citedby = {0},
  pages = {117-124},
  booktitle = {Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China},
  editor = {Yong Shi 0001 and Jianping Li 0001 and Gang Kou and Daniel Berg and James M. Tien},
  volume = {214},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}