Big Data in Changes: Is big data bigger then sustainable development and research design?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F15%3A%230003729" target="_blank" >RIV/47813059:19520/15:#0003729 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Big Data in Changes: Is big data bigger then sustainable development and research design?

Popis výsledku v původním jazyce

This paper is oriented on research design with links on big data in the global information society. Big data creates a phenomenon in modern society, where firms, organizations, and individuals must work with data, information, and knowledge. Big data isoriented around the derivation of needed and correct information with knowledge from stored data. The solution is to apply optimal research design as a multidimensional approach on big data based on defined preferences. Key is a complete perception of reality based on an optimal research design. Such approach works with many objects and different contexts using available analytical disciplines (layers). Needed spectrum of suitable analytical disciplines is wide. Presented design is focused on browsing selected layers via disciplines such as Artificial Intelligence, Business Intelligence, Customer Intelligence, Competitive Intelligence and Swarm Intelligence. For active work with data via various layers, a good helper is simulation and m

Název v anglickém jazyce

Big Data in Changes: Is big data bigger then sustainable development and research design?

Popis výsledku anglicky

This paper is oriented on research design with links on big data in the global information society. Big data creates a phenomenon in modern society, where firms, organizations, and individuals must work with data, information, and knowledge. Big data isoriented around the derivation of needed and correct information with knowledge from stored data. The solution is to apply optimal research design as a multidimensional approach on big data based on defined preferences. Key is a complete perception of reality based on an optimal research design. Such approach works with many objects and different contexts using available analytical disciplines (layers). Needed spectrum of suitable analytical disciplines is wide. Presented design is focused on browsing selected layers via disciplines such as Artificial Intelligence, Business Intelligence, Customer Intelligence, Competitive Intelligence and Swarm Intelligence. For active work with data via various layers, a good helper is simulation and m

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

WSEAS TRANSACTIONS on COMPUTERS

ISSN

2224-2872

e-ISSN

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Svazek periodika

2015

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

835-842

Kód UT WoS článku

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EID výsledku v databázi Scopus

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