Big Data Analytics and Machine Learning for Industry 4.0: An Overview

Le, Nguyen Tuan Thanh and Pham, Manh Linh (2020) Big Data Analytics and Machine Learning for Industry 4.0: An Overview. In: Industry 4.0 Interoperability, Analytics, Security, and Case studies. Big Data for Industry 4.0: Challenges and Applications . CRC Press-Taylor & Francis Group, LLC. ISBN 978-0-367-50112-9 (In Press)

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Abstract

Our industry is now upgrading to the next industrial revolution, or Industry 4.0, which have been generating massive data that we have never seen before. It requires us to employ new methods to take advantage of this fast and big data. Optimizing and fully automated production, by harnessing cutting-edge technologies, are the ultimate goals of Industry 4.0. Among various advanced and cutting-edge technologies, machine learning (ML) and big data analytics (BDA) have been incorporated and applied successfully to obtain insights from the data and help to adjust automatically industrial processes as needed.

Item Type:	Book Section
Uncontrolled Keywords:	Big Data Analytics, Industry 4.0, Machine Learning, Deep Learning
Subjects:	Information Technology (IT)
Divisions:	Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO) Faculty of Information Technology (FIT)
Depositing User:	Dr. Mạnh Linh Phạm
Date Deposited:	20 Aug 2020 04:31
Last Modified:	20 Aug 2020 04:31
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4046

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• Big Data Analytics and Machine Learning for Industry 4.0: An Overview. (deposited 20 Aug 2020 04:31) [Currently Displayed]
  • Big Data Analytics and Machine Learning for Industry 4.0: An Overview. (deposited 15 Mar 2021 04:23)

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