Big Data and Simulations for the Solution of Controversies in Small Businesses
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F18%3A00011000" target="_blank" >RIV/47813059:19520/18:00011000 - 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
Big Data and Simulations for the Solution of Controversies in Small Businesses
Popis výsledku v původním jazyce
General perspective of the chapter is focused on the use of big data and intelligence in the field of information technology. Working with big data requires optimal IT support, skills of IT users, and more predictive analytics. Interest is focused on true story formation. For these goals, there is computational intelligence bringing IT power to problem solution. The suitable recommendation is to implement a multidimensional view on big data with all partial views like information technology, implemented software, tools for better perception of context, catalyst of people's reactions to ongoing changes, and protection against unwanted changes. The multidimensional view is a default part of a data warehouse, and this view also holds an optimal place in big data. Such an approach works with big data along three levels (internal matter as the base level, external matter as an advanced level, and uncertainty matter as a variable level). These levels support benefits from information technol ogy for the sustainable development of the global information society.
Název v anglickém jazyce
Big Data and Simulations for the Solution of Controversies in Small Businesses
Popis výsledku anglicky
General perspective of the chapter is focused on the use of big data and intelligence in the field of information technology. Working with big data requires optimal IT support, skills of IT users, and more predictive analytics. Interest is focused on true story formation. For these goals, there is computational intelligence bringing IT power to problem solution. The suitable recommendation is to implement a multidimensional view on big data with all partial views like information technology, implemented software, tools for better perception of context, catalyst of people's reactions to ongoing changes, and protection against unwanted changes. The multidimensional view is a default part of a data warehouse, and this view also holds an optimal place in big data. Such an approach works with big data along three levels (internal matter as the base level, external matter as an advanced level, and uncertainty matter as a variable level). These levels support benefits from information technol ogy for the sustainable development of the global information society.
Klasifikace
Druh
C - Kapitola v odborné knize
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
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Encyclopedia of Information Science and Technology
ISBN
9781522522553
Počet stran výsledku
9
Strana od-do
1-9
Počet stran knihy
8104
Název nakladatele
Neuveden
Místo vydání
Neuveden
Kód UT WoS kapitoly
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