Big Data and Visual Analytics -

Big Data and Visual Analytics

Sang C. Suh, Thomas Anthony (Herausgeber)

Buch | Hardcover
X, 263 Seiten
2018 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-63915-4 (ISBN)
139,09 inkl. MwSt

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.

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.

Erscheinungsdatum
Zusatzinfo X, 263 p. 27 illus., 10 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 578 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Graphentheorie
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • Big Data • Big data applications • Big data architecture • Big data technologies • Business Analytics • combinatorics & graph theory • Combinatorics & graph theory • data analytics • Data Mining • data mining and knowledge discovery • Expert systems / knowledge-based systems • High performance computing cluster • Information Visualization • Intelligent Information Systems • Market Research • Market Research/Competitive Intelligence • Mathematics • mathematics and statistics • Robotics • Security of big data • Tensor-based computation and modeling • Virtual data machine • Visual Analytics • Visualization
ISBN-10 3-319-63915-3 / 3319639153
ISBN-13 978-3-319-63915-4 / 9783319639154
Zustand Neuware
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