Big Data and Visual Analytics

Lieferzeit: Lieferbar innerhalb 14 Tagen

149,79 

ISBN: 3319639153
ISBN 13: 9783319639154
Herausgeber: Sang C Suh/Thomas Anthony
Verlag: Springer Verlag GmbH
Umfang: x, 263 S., 17 s/w Illustr., 10 farbige Illustr., 263 p. 27 illus., 10 illus. in color.
Erscheinungsdatum: 17.01.2018
Auflage: 1/2017
Format: 2.3 x 24.2 x 16.3
Gewicht: 579 g
Produktform: Gebunden/Hardback
Einband: GEB

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

Artikelnummer: 2527061 Kategorie:

Beschreibung

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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