relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4046/
title: Big Data Analytics and Machine Learning for Industry 4.0: An Overview
creator: Le, Nguyen Tuan Thanh
creator: Pham, Manh Linh
subject: Information Technology (IT)
description: 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.
publisher: CRC Press-Taylor & Francis Group, LLC
contributor: Rajesh, G.
contributor: X. Mercilin, Raajini
contributor: Dang, Thi Thu Hien
date: 2020-08-11
type: Book Section
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4046/1/ML_BD_Analytics_for_Industry_4_0_2020_CRCPress.pdf
identifier:   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)