Decision Support Systems: From Big Data to the Knowledge Society
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00539645" target="_blank" >RIV/67985807:_____/20:00539645 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Decision Support Systems: From Big Data to the Knowledge Society
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Decision Support Systems: From Big Data to the Knowledge Society
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA19-05704S" target="_blank" >GA19-05704S: FoNeCo: Analytické základy neurovýpočtů</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PaKSoM 2020. Proceedings of 2nd Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation
ISBN
978-86-80616-06-3
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
3-10
Název nakladatele
Research and Development Center ALFATEC and Complex Systems Research Center
Místo vydání
Niš
Místo konání akce
Niš / Virtual
Datum konání akce
16. 11. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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