eprintid: 4374
rev_number: 8
eprint_status: archive
userid: 408
dir: disk0/00/00/43/74
datestamp: 2021-03-15 04:23:03
lastmod: 2021-03-15 04:23:03
status_changed: 2021-03-15 04:23:03
type: book_section
succeeds: 4046
metadata_visibility: show
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: pub
subjects: IT
divisions: FIMO
divisions: fac_fit
keywords: Big Data Analytics, Industry 4.0, Machine Learning, Deep
Learning
abstract: The concept of “Big data” was mentioned for the first time by Roger Mougalas in 2005. Volume hints to the size and/or scale of datasets. Until now, there is no universal threshold for data volume to be considered as big data, because of the time and diversity of datasets. Velocity indicates the speed of processing data. It can fall into three categories: streaming processing, real-time processing, or batch processing. Value alludes to the usefulness of data for decision making. Veracity denotes the quality and trustworthiness of datasets. Parallelization allows one to improve computation time by dividing big problems into smaller instances, distributing smaller tasks across multiple threads and then performing them simultaneously. Feature selection is useful for preparing high scale datasets. Sampling is a method for data reducing that helps to derive patterns in big datasets by generating, manipulating, and analyzing subsets of the original data.
date: 2021-01-31
date_type: published
publisher: CRC Press - Taylor & Francis Group, LLC
official_url: https://doi.org/10.1201/9781003048855
full_text_status: public
series: Big Data for Industry 4.0: Challenges and Applications
place_of_pub: Boca Raton, FL, USA
pagerange: 1-11
pages: 12
refereed: TRUE
isbn: 9781003048855
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_url: https://www.taylorfrancis.com/chapters/big-data-analytics-machine-learning-industry-4-0-overview-nguyen-tuan-thanh-le-manh-linh-pham/e/10.1201/9781003048855-1?context=ubx&refId=138e5295-f15d-4ebb-a517-0cfb2b3f1bda
related_url_type: org
related_url_type: pub
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funders: Vietnam National University, Hanoi (VNU)
projects: QG.20.55
citation:   Le, Nguyen Tuan Thanh and Pham, Manh Linh  (2021) 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, Boca Raton, FL, USA, pp. 1-11.  ISBN 9781003048855     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4374/6/BookCRCPressThanhLinh.pdf