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Big Data and Visual Analytics

Editat de Sang C. Suh, Thomas Anthony
en Limba Engleză Paperback – 4 iun 2019
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.
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Specificații

ISBN-13: 9783319876702
ISBN-10: 3319876708
Pagini: 263
Ilustrații: X, 263 p. 27 illus., 10 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of the original 1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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.

Caracteristici

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