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Data Mining from Open Fiscal Data
[Dolování z otevřených dat o rozpočtech a výdajích]

Author

Listed:
  • David Chudán
  • Vojtěch Svátek
  • Jaroslav Kuchař
  • Stanislav Vojíř

Abstract

Data mining methods are still more popular, even in domains where there is traditionally limited support by analytical tools and where the analyst´s manual work still prevails. Using these methods in the fiscal domain enables deeper analysis and can bring new findings. The deployment of data mining methods is one part of the OpenBudgets.eu project, which focuses on transparency and accountability in the public funds management. This overview article summarizes selected experiences of the authors of the project from the development, implementation and application of selected data mining methods on mining fiscal data. These methods are integrated into the central platform of the project available for the advanced and common users interested in fiscal data analysis. The pilot analysis showed that the problem of data mining in this domain is the large amount of found rules together with its heterogenous origin.

Suggested Citation

  • David Chudán & Vojtěch Svátek & Jaroslav Kuchař & Stanislav Vojíř, 2018. "Data Mining from Open Fiscal Data [Dolování z otevřených dat o rozpočtech a výdajích]," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2018(1), pages 58-73.
    • Handle: RePEc:prg:jnlaip:v:2018:y:2018:i:1:id:114:p:58-73
    DOI: 10.18267/j.aip.114
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