Industrial big data analytics for cognitive internet of things: Wireless sensor networks, smart computing algorithms, and machine learning techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001707" target="_blank" >RIV/75081431:_____/19:00001707 - isvavai.cz</a>
Result on the web
<a href="https://addletonacademicpublishers.com/contents-am/1306-volume-18-2019/3660-industrial-big-data-analytics-for-cognitive-internet-of-things-wireless-sensor-networks-smart-computing-algorithms-and-machine-learning-techniques" target="_blank" >https://addletonacademicpublishers.com/contents-am/1306-volume-18-2019/3660-industrial-big-data-analytics-for-cognitive-internet-of-things-wireless-sensor-networks-smart-computing-algorithms-and-machine-learning-techniques</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22381/AM1820193" target="_blank" >10.22381/AM1820193</a>
Alternative languages
Result language
angličtina
Original language name
Industrial big data analytics for cognitive internet of things: Wireless sensor networks, smart computing algorithms, and machine learning techniques
Original language description
Authors draw on a substantial body of theoretical and empirical research on industrial big data analytics for Cognitive Internet of Things, and to explore this, authors inspected, used, and replicated survey data from BCG, CIO, EY, Gartner, PwC, and Statista, performing analyses and making estimates regarding how Industry 4.0 is delivering revenue, cost and efficiency gains and top technologies being considered in-line with organizations’ strategic plan. Structural equation modeling was used to analyze the data and test the proposed conceptual model.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Analysis and Metaphysics
ISSN
1584-8574
e-ISSN
2471-0849
Volume of the periodical
18
Issue of the periodical within the volume
December
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
23-29
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85078272508