Big Data and Visual Analytics
Editat de Sang C. Suh, Thomas Anthonyen Limba Engleză Paperback – 4 iun 2019
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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Springer International Publishing – 4 iun 2019 | 910.26 lei 43-57 zile | |
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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
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