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@article{52901, author = {Eysenck, Glenn and Kovalová, Erika and Machová, Veronika and Konečný, Vladimír}, article_location = {New York, USA}, article_number = {4}, doi = {http://dx.doi.org/10.22381/JSME7420194}, keywords = {big data analytics; industrial internet of things; sensing; computing}, language = {eng}, issn = {2329-4175}, journal = {Journal of Self-Governance and Management Economics}, title = {Big data analytics processes in industrial internet of things systems: Sensing and computing technologies, machine learning techniques, and autonomous decision-making algorithms}, url = {https://addletonacademicpublishers.com/contents-jsme/1790-volume-7-4-2019/3678-big-data-analytics-processes-in-industrial-internet-of-things-systems-sensing-and-computing-technologies-machine-learning-techniques-and-autonomous-decision-making-algorithms}, volume = {7}, year = {2019} }
TY - JOUR ID - 52901 AU - Eysenck, Glenn - Kovalová, Erika - Machová, Veronika - Konečný, Vladimír PY - 2019 TI - Big data analytics processes in industrial internet of things systems: Sensing and computing technologies, machine learning techniques, and autonomous decision-making algorithms JF - Journal of Self-Governance and Management Economics VL - 7 IS - 4 SP - 28-34 EP - 28-34 PB - Addleton Academic Publishers SN - 23294175 KW - big data analytics KW - industrial internet of things KW - sensing KW - computing UR - https://addletonacademicpublishers.com/contents-jsme/1790-volume-7-4-2019/3678-big-data-analytics-processes-in-industrial-internet-of-things-systems-sensing-and-computing-technologies-machine-learning-techniques-and-autonomous-decision-making-algorithms L2 - https://addletonacademicpublishers.com/contents-jsme/1790-volume-7-4-2019/3678-big-data-analytics-processes-in-industrial-internet-of-things-systems-sensing-and-computing-technologies-machine-learning-techniques-and-autonomous-decision-making-algorithms N2 - Employing recent research results covering big data analytics processes in Industrial Internet of Things systems, and building argument by drawing on data collected from Forbes, McKinsey, PwC, Statista, and World Economic Forum, authors performed analyses and made estimates regarding the Internet of Things units installed base by category, spending on Internet of Things worldwide by vertical in 2015 and 2020, drivers of technological change, industries overall, and stages of diffusion of artificial intelligence technologies. ER -
EYSENCK, Glenn, Erika KOVALOVÁ, Veronika MACHOVÁ a Vladimír KONEČNÝ. Big data analytics processes in industrial internet of things systems: Sensing and computing technologies, machine learning techniques, and autonomous decision-making algorithms. \textit{Journal of Self-Governance and Management Economics}. New York, USA: Addleton Academic Publishers, roč.~7, č.~4, s.~28-34. ISSN~2329-4175. doi:10.22381/JSME7420194. 2019.
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