Decision Support Systems: From Big Data to the Knowledge Society

0539645 - ÚI 2021 RIV RS eng C - Conference Paper (international conference)
Kalina, Jan
Decision Support Systems: From Big Data to the Knowledge Society.
PaKSoM 2020. Proceedings of 2nd Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation. Niš: Research and Development Center ALFATEC and Complex Systems Research Center, 2020 - (Stanković, M.; Nikolić, V.), s. 3-10. ISBN 978-86-80616-06-3.
[PaKSoM 2020: Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation /2./. Niš / Virtual (RS), 16.11.2020-17.11.2020]
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : decision making * decision support systems * Big Data * knowledge extraction * evidence based approaches
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

As the volume of available data in various fields keeps increasing, the importance of knowledge within the economies around the world is increasing as well and the society is currently on its path towards the ideals of the knowledge society. This paper presents decision support systems as tools contributing to acquiring knowledge from data and thus to the rise of the knowledge society. Big Data may be analyzed within decision support systems as well, if specific tools of deep learning are exploited. We present here an overview of recent and inspiring decision support systems in various fields (management, agriculture, or education) and contrast their principles and perspectives with those for healthcare. Each domain is argued here to have its own specifics. We also expect a further penetration of data analysis methods (i.e.an „informatization“) to diverse fields, while the society or the economies do not seem sufficiently prepared for such trends.
Permanent Link: http://hdl.handle.net/11104/0317350