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Conventional Machine Learning Methods for Detecting Tax Evasion among Inactive or Insolvent Companies Cover

Conventional Machine Learning Methods for Detecting Tax Evasion among Inactive or Insolvent Companies

Proceedings of the International Conference on Business Excellence
Volume 20 (2026): Issue 1 (July 2026)
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Open Access
|Jul 2026
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DOI: https://doi.org/10.2478/picbe-2026-0053 | Journal eISSN: 2558-9652
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Language: English
Page range: 661 - 673
Published on: Jul 16, 2026
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
machine learning,
inactive companies,
insolvent companies,
tax evasion,
DBSCAN,
logistic regression,
fuzzy c-means
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Business management,
Business management, other,
Industrial chemistry,
Energy harvesting and conversion

© 2026 Alexandru SIMION, Adrian COSTEA, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2026): Issue 1 (July 2026)
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