Editors:
- 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
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Table of contents (15 papers)
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Front Matter
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Back Matter
About this book
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.
Keywords
- Big data
- Big data applications
- Big data architecture
- Business analytics
- Data mining and knowledge discovery
- High performance computing cluster
- Information visualization
- Intelligent information systems
- Security of big data
- Tensor-based computation and modeling
- Visual analytics
- Data analytics
- Virtual data machine
- Big data technologies
Editors and Affiliations
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Department of Computer Science, Texas A&M University-Commerce, Commerce, USA
Sang C. Suh
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Department of Electrical and Computer Engineering, The University of Alabama at Birmingham, Birmingham, USA
Thomas Anthony
Bibliographic Information
Book Title: Big Data and Visual Analytics
Editors: Sang C. Suh, Thomas Anthony
DOI: https://doi.org/10.1007/978-3-319-63917-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-63915-4Published: 17 January 2018
Softcover ISBN: 978-3-319-87670-2Published: 04 June 2019
eBook ISBN: 978-3-319-63917-8Published: 15 January 2018
Edition Number: 1
Number of Pages: X, 263
Number of Illustrations: 17 b/w illustrations, 10 illustrations in colour
Topics: Information Systems and Communication Service, Artificial Intelligence, Visualization