A Framework to Assess Risk of Illicit Trades Using Bayesian Belief Networks

Rashid Anzoom, Rakesh Nagi, Chrysafis Vogiatzis. A Framework to Assess Risk of Illicit Trades Using Bayesian Belief Networks. In Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero 0001, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part V. Volume 634 of IFIP Advances in Information and Communication Technology, pages 504-513, Springer, 2021. [doi]

@inproceedings{AnzoomNV21,
  title = {A Framework to Assess Risk of Illicit Trades Using Bayesian Belief Networks},
  author = {Rashid Anzoom and Rakesh Nagi and Chrysafis Vogiatzis},
  year = {2021},
  doi = {10.1007/978-3-030-85914-5_54},
  url = {https://doi.org/10.1007/978-3-030-85914-5_54},
  researchr = {https://researchr.org/publication/AnzoomNV21},
  cites = {0},
  citedby = {0},
  pages = {504-513},
  booktitle = {Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part V},
  editor = {Alexandre Dolgui and Alain Bernard and David Lemoine and Gregor von Cieminski and David Romero 0001},
  volume = {634},
  series = {IFIP Advances in Information and Communication Technology},
  publisher = {Springer},
  isbn = {978-3-030-85914-5},
}