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Big Data - BigData 2019 : 8th International Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019, Proceedings / edited by Keke Chen, Sangeetha Seshadri, Liang-Jie Zhang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Chen, Keke, Editor.
Seshadri, Sangeetha, Editor.
Zhang, Liang-Jie, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11514
Information Systems and Applications, incl. Internet/Web, and HCI ; 11514
Language:
English
Subjects (All):
Big data.
Computer networks.
Computer engineering.
Artificial intelligence.
Computer science.
Data protection.
Big Data.
Computer Communication Networks.
Computer Engineering and Networks.
Artificial Intelligence.
Theory of Computation.
Data and Information Security.
Local Subjects:
Big Data.
Computer Communication Networks.
Computer Engineering and Networks.
Artificial Intelligence.
Theory of Computation.
Data and Information Security.
Physical Description:
1 online resource (IX, 137 pages) : 67 illustrations, 48 illustrations in color.
Edition:
1st ed. 2019.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
This volume constitutes the proceedings of the 8th International Congress on BIGDATA 2019, held as Part of SCF 2019 in San Diego, CA, USA in June 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society.
Contents:
Big Data Models and Algorithms
Big Data Architectures
Big Data Management
Big Data Protection, Integrity and Privacy
Security Applications of Big Data
Big Data Search and Mining
Big Data for Enterprise, Government and Society.
Other Format:
Printed edition:
ISBN:
978-3-030-23551-2
9783030235512
Access Restriction:
Restricted for use by site license.

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