Edge learning for distributed big data analytics : (Record no. 54648)

MARC details
000 -LEADER
fixed length control field 01792nam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field IN-BdCUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250103125020.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200630s2022||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108955959 (ebook)
Canceled/invalid ISBN 9781108832373 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency IN-BdCUP
Language of cataloging eng
Transcribing agency IN-BdCUP
Description conventions rda
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.583
Item number .S66 2022
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 5.758
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Guo, Song
Relator term Author
245 #0 - TITLE STATEMENT
Title Edge learning for distributed big data analytics :
Remainder of title theory, algorithms, and system design /
Statement of responsibility, etc. Song Guo, Zhihao Qu.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (x, 217 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 21 Jan 2022).
520 ## - SUMMARY, ETC.
Summary, etc. Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Edge computing.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Qu, Zhihao,
Relator term author.
776 ## - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781108955959
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Electronic Book Resource
Uniform Resource Identifier <a href="https://doi.org/10.1017/9781108955959">https://doi.org/10.1017/9781108955959</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Order Number Cost, normal purchase price Bill number Total checkouts Full call number Barcode Date last seen Uniform resource identifier Actual Cost, replacement price Bill Date Koha item type
    Dewey Decimal Classification     Ranganathan Library Ranganathan Library 01/01/2025 Today & Tomorrow's Printers and Publishers CUP/LIB/24 270.00 TTPP/202/2024-25   5.758 E01839 03/01/2025 https://doi.org/10.1017/9781108955959 270.00 13/11/2024 E-Book
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