Big Data and Visual Analytics

Herausgegeben:Suh, Sang C.; Anthony, Thomas

• Gebundenes Buch

Produktbeschreibung

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 willalso find this book helpful as a secondary textbook or reference.

Produktdetails

• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-63915-4
• 1st ed. 2017
• Seitenzahl: 276
• Erscheinungstermin: 17. Januar 2018
• Englisch
• Abmessung: 241mm x 160mm x 21mm
• Gewicht: 578g
• ISBN-13: 9783319639154
• ISBN-10: 3319639153
• Artikelnr.: 48503563

Inhaltsangabe

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.

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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.