eprintid: 4046
rev_number: 9
eprint_status: archive
userid: 408
dir: disk0/00/00/40/46
datestamp: 2020-08-20 04:31:15
lastmod: 2020-08-20 04:31:15
status_changed: 2020-08-20 04:31:15
type: book_section
metadata_visibility: no_search
creators_name: Le, Nguyen Tuan Thanh
creators_name: Pham, Manh Linh
creators_id: thanhlnt@tlu.edu.vn
creators_id: linhmp@vnu.edu.vn
title: Big Data Analytics and Machine Learning for Industry 4.0: An Overview
ispublished: inpress
subjects: IT
divisions: FIMO
divisions: fac_fit
keywords: Big Data Analytics, Industry 4.0, Machine Learning, Deep
Learning
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.
date: 2020-08-11
date_type: published
publisher: CRC Press-Taylor & Francis Group, LLC
contact_email: linhmp@vnu.edu.vn
full_text_status: public
series: Big Data for Industry 4.0: Challenges and Applications
pages: 15
refereed: TRUE
isbn: 978-0-367-50112-9
book_title: Industry 4.0 Interoperability, Analytics, Security, and Case studies
editors_name: Rajesh, G.
editors_name: X. Mercilin, Raajini
editors_name: Dang, Thi Thu Hien
editors_id: gr@annauniv.edu
editors_id: raajii.mercy@gmail.com
editors_id: hiendt@tlu.edu.vn
related_url_url: https://sites.google.com/view/grajesh/iaas?authuser=0
related_url_type: org
funders: Vietnam National University, Hanoi (VNU)
projects: QG.20.55
citation:   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)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4046/1/ML_BD_Analytics_for_Industry_4_0_2020_CRCPress.pdf