Authors:
- intelligent Web data management methods including software architectures and
- emerging technologies
- Presents the utilization of experimental data and real world applications
- Organized in four thematic categories: cloud computing, social networking, monitoring, and literature management
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 643)
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Table of contents (8 chapters)
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Front Matter
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Cloud Computing
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Front Matter
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Literature Management
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Front Matter
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About this book
This book presents some of the emerging techniques and technologies used to handle Web data management. Authors present novel software architectures and emerging technologies and then validate using experimental data and real world applications. The contents of this book are focused on four popular thematic categories of intelligent Web data management: cloud computing, social networking, monitoring and literature management. The Volume will be a valuable reference to researchers, students and practitioners in the field of Web data management, cloud computing, social networks using advanced intelligence tools.
Authors and Affiliations
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SPKLNBIC, School of Info. Sci. and Engg., University of Jinan, Jinan, China
Kun Ma, Bo Yang, Runyuan Sun
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Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, USA
Ajith Abraham
Bibliographic Information
Book Title: Intelligent Web Data Management: Software Architectures and Emerging Technologies
Authors: Kun Ma, Ajith Abraham, Bo Yang, Runyuan Sun
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-30192-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30191-4Published: 02 March 2016
Softcover ISBN: 978-3-319-80745-4Published: 07 April 2018
eBook ISBN: 978-3-319-30192-1Published: 19 February 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 162
Number of Illustrations: 30 b/w illustrations, 78 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Software Engineering/Programming and Operating Systems, Database Management