Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach (Studies in big data ; volume 78)

Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach

(Studies in big data ; volume 78)

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Contents：: Coronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression ModelVirus Graph and COVID-19 Pandemic: A Graph Theor...

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Material Type: 図書
ISBN: 9783030552572
3030552578
ISBN (error code): 9783030552589 eBook
ISSN (series): 2197-6503
Title: Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach
Author/Editor: Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy, editors
Series Title: Studies in big data ; volume 78
Title Heading: Studies in big data. 2197-6503
Author Heading: Hassanien, Aboul Ella
Dey, Nilanjan, 1984-
Elghamrawy, Sally
Publication, Distribution, etc.: Cham, Switzerland : Springer (出版)
Publication Date: [2020]
Publication Date (W3CDTF): 2020
Extent: xi, 307 pages
Other physical details: illustrations, portraits
Size: 25 cm
Place of Publication (Country Code): CH
Text Language Code: eng
Content Type: text
Media Type: unmediated
Carrier Type: volume
Subject Heading: COVID-19
Data Science--methods
Data Visualization
Big Data
Artificial Intelligence
NDLC: SC21
Target Audience: 一般
Note (Bibliography): Includes bibliographical references
Holding library: 国立国会図書館
Call No.: SC21-D4
Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 030733535
http://id.ndl.go.jp/bib/030733535
OCLC No.: 1160611814
https://www.worldcat.org/oclc/1160611814
Cataloging Rule: RDA
Bibliographic Record Category (NDL): 211