Big Data Applications in Industry 4.0 (Record no. 51020)

MARC details
000 -LEADER
fixed length control field 01729 a2200193 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250807114757.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032191799
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74 KAL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kaliraj, P
245 ## - TITLE STATEMENT
Title Big Data Applications in Industry 4.0
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2022
Place of publication, distribution, etc Boca Raton
300 ## - PHYSICAL DESCRIPTION
Extent 421
520 ## - SUMMARY, ETC.
Summary, etc Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development.<br/><br/>Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Applications
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Integration
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Devi, T.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.