Using Government Data and Machine Learning for Predicting Firms’ Vulnerability to Economic Crisis
- DOI
- 10.1007/978-3-030-57599-1_26
- Published
- 2020
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-57599-1_26,
title = {Using Government Data and Machine Learning for Predicting Firms’ Vulnerability to Economic Crisis},
author = {Euripidis Loukis and Niki Kyriakou and Manolis Maragoudakis},
year = {2020},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-57599-1_26},
url = {https://doi.org/10.1007/978-3-030-57599-1_26}
}RIS
TY - JOUR TI - Using Government Data and Machine Learning for Predicting Firms’ Vulnerability to Economic Crisis AU - Euripidis Loukis AU - Niki Kyriakou AU - Manolis Maragoudakis PY - 2020 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-57599-1_26 UR - https://doi.org/10.1007/978-3-030-57599-1_26 ER -
APA
Loukis, E., Kyriakou, N., & Maragoudakis, M. (2020). Using Government Data and Machine Learning for Predicting Firms’ Vulnerability to Economic Crisis. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-57599-1_26
Source records
- crossref · retrieved 2026-09-25T17:20:51.751Z