Big Data and Visual Analytics

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Details

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics.

Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics.

This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.


Presents the benefits of the methods and technologies used in big data and visual analytics and examines the challenges of future research in this area Covers tensor-based computation and modeling Each chapter is authored or co-authored by academicians directly involved in research activities delineated in the chapters

Inhalt

Information visualization.- Data analytics.- Visual analytics.- Intelligent information systems.- Business analytics,- Virtual data machine.- Big data architecture.- Security of big data.- Big data applications.- Tensor-based computation and modeling.- High performance computing cluster.- Big data technologies.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319876702
    • Anzahl Seiten 276
    • Lesemotiv Verstehen
    • Genre Allgemein & Lexika
    • Auflage Softcover reprint of the original 1st edition 2017
    • Editor Thomas Anthony, Sang C. Suh
    • Herausgeber Springer International Publishing
    • Gewicht 423g
    • Größe H235mm x B155mm x T16mm
    • Jahr 2019
    • EAN 9783319876702
    • Format Kartonierter Einband
    • ISBN 3319876708
    • Veröffentlichung 04.06.2019
    • Titel Big Data and Visual Analytics
    • Sprache Englisch

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