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

Por: Ma, Kun [author.]Colaborador(es): Abraham, Ajith [author.] | Yang, Bo [author.] | Sun, Runyuan [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 643Editor: Cham : Springer International Publishing : Imprint: Springer, 2016Edición: 1st ed. 2016Descripción: XIV, 162 p. 108 illus., 30 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319301921Tema(s): Engineering | Software engineering | Database management | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Software Engineering/Programming and Operating Systems | Database ManagementFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Cloud Computing -- Social Networking -- Monitoring -- Literature Management.
En: Springer eBooksResumen: 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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