首页    期刊浏览 2025年05月25日 星期日
登录注册

文章基本信息

  • 标题:Data Mining from Open Fiscal Data
  • 本地全文:下载
  • 作者:David Chudán ; Vojtěch Svátek ; Jaroslav Kuchař
  • 期刊名称:Acta Informatica Pragensia
  • 电子版ISSN:1805-4951
  • 出版年度:2018
  • 卷号:7
  • 期号:1
  • 页码:58-73
  • DOI:10.18267/j.aip.114
  • 语种:Czech
  • 出版社:University of Economics, Prague
  • 摘要: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.
国家哲学社会科学文献中心版权所有