Using of big data sets for management of selected risks in public and financial sector
Provider: Univerzita Pardubice
Programme: Studentská grantová soutěž
Implementation period: 01.01.18 - 31.12.18
Workplace:
Fakulta ekonomicko-správní - FES
Investigator: Jindrová PavlaTeam member: Koudela Libor | Linda Bohdan | Panuš Jan | Zapletal David | Boháčová Hana | Heckenbergerová Jana | Zapletalová Lucie
Description:
The activities of the research team will focus on the application of a wide range of quantitative methods and methods of system engineering to solve selected problems in economics, related to digitization, in the context of the use of big data sets. This issue will be solved in accordance with the topics of the doctoral and diploma theses of the participating students of the doctoral and master study program SII, mostly students of the MFR field, following the results achieved in the previous period. The orientation of research activities therefore focuses mainly on the choice and application of a wide range of quantitative methods and analytical tools for knowledge mining for the management of selected risks in relation to the public health and the risks of the financial sector.
The activities of the research team will focus on the application of a wide range of quantitative methods and methods of system engineering to solve selected problems in economics, related to digitization, in the context of the use of big data sets. This issue will be solved in accordance with the topics of the doctoral and diploma theses of the participating students of the doctoral and master study program SII, mostly students of the MFR field, following the results achieved in the previous period. The orientation of research activities therefore focuses mainly on the choice and application of a wide range of quantitative methods and analytical tools for knowledge mining for the management of selected risks in relation to the public health and the risks of the financial sector.
