Using Government Data and Machine Learning for Predicting Firms' Vulnerability to Economic Crisis

Euripidis N. Loukis, Niki Kyriakou, Manolis Maragoudakis. Using Government Data and Machine Learning for Predicting Firms' Vulnerability to Economic Crisis. In Gabriela Viale Pereira, Marijn Janssen, Habin Lee, Ida Lindgren, Manuel Pedro Rodríguez Bolívar, Hans Jochen Scholl, Anneke Zuiderwijk, editors, Electronic Government - 19th IFIP WG 8.5 International Conference, EGOV 2020, Linköping, Sweden, August 31 - September 2, 2020, Proceedings. Volume 12219 of Lecture Notes in Computer Science, pages 345-358, Springer, 2020. [doi]

@inproceedings{LoukisKM20,
  title = {Using Government Data and Machine Learning for Predicting Firms' Vulnerability to Economic Crisis},
  author = {Euripidis N. Loukis and Niki Kyriakou and Manolis Maragoudakis},
  year = {2020},
  doi = {10.1007/978-3-030-57599-1_26},
  url = {https://doi.org/10.1007/978-3-030-57599-1_26},
  researchr = {https://researchr.org/publication/LoukisKM20},
  cites = {0},
  citedby = {0},
  pages = {345-358},
  booktitle = {Electronic Government - 19th IFIP WG 8.5 International Conference, EGOV 2020, Linköping, Sweden, August 31 - September 2, 2020, Proceedings},
  editor = {Gabriela Viale Pereira and Marijn Janssen and Habin Lee and Ida Lindgren and Manuel Pedro Rodríguez Bolívar and Hans Jochen Scholl and Anneke Zuiderwijk},
  volume = {12219},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-57599-1},
}