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Intelligent Web Data Management: Software Architectures and Emerging Technologies [electronic resource] / by Kun Ma, Ajith Abraham, Bo Yang, Runyuan Sun.

By: Ma, Kun [author.].
Contributor(s): Abraham, Ajith [author.] | Yang, Bo [author.] | Sun, Runyuan [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 643Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XIV, 162 p. 108 illus., 78 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319301921.Subject(s): Computational intelligence | Artificial intelligence | Software engineering | Database management | Computational Intelligence | Artificial Intelligence | Software Engineering | Database ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Cloud Computing -- Social Networking -- Monitoring -- Literature Management.
In: Springer Nature eBookSummary: 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.
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Cloud Computing -- Social Networking -- Monitoring -- Literature Management.

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.

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