Data Mining from Open Fiscal Data

Dolování z otevřených dat o rozpočtech a výdajích

David Chudán, Vojtěch Svátek, Jaroslav Kuchař and Stanislav Vojíř

Acta Informatica Pragensia, 2018, vol. 2018, issue 1, 58-73

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.

Keywords: Data mining; Open data; Fiscal data; European project; OpenBudgets.eu; Dolování z dat; otevřená data; fiskální data; evropský projekt (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://aip.vse.cz/doi/10.18267/j.aip.114.html (text/html)
http://aip.vse.cz/doi/10.18267/j.aip.114.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prg:jnlaip:v:2018:y:2018:i:1:id:114:p:58-73

Ordering information: This journal article can be ordered from
Redakce Acta Informatica Pragensia, Katedra systémové analýzy, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
http://aip.vse.cz

DOI: 10.18267/j.aip.114

Access Statistics for this article

Acta Informatica Pragensia is currently edited by Editorial Office

More articles in Acta Informatica Pragensia from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().