Decision Support Systems: From Big Data to the Knowledge Society
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Decision Support Systems: From Big Data to the Knowledge Society
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-05704S" target="_blank" >GA19-05704S: FoNeCo: Analytical Foundations of Neurocomputing</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
8
Pages from-to
3-10
Publisher name
Research and Development Center ALFATEC and Complex Systems Research Center
Place of publication
Niš
Event location
Niš / Virtual
Event date
Nov 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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