Big Data and Visual Analytics /
Edition statement:1st ed. 2017. Published by : Springer (Switzerland) Physical details: ix, 263 pages ISBN:9783319639178.
Book
| Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Riara University Library General stack | QA76.9.B45 2017 (Browse shelf (Opens below)) | C.1 | Available | 10788/25 | ||
| Riara University Library General stack | QA76.9.B45 2017 (Browse shelf (Opens below)) | C.2 | Available | 10789/25 | ||
| Riara University Library General stack | QA76.9.B45 2017 (Browse shelf (Opens below)) | C.3 | Available | 10791/25 | ||
| Riara University Library General stack | QA76.9.B45 2017 (Browse shelf (Opens below)) | C.4 | Available | 10792/25 |
Browsing Riara University Library shelves, Shelving location: General stack Close shelf browser (Hides shelf browser)
| QA76.9.A25P536 2010 Fundamentals of computer security / | QA76.9.A33 2011 Microsoft Access 2010 :Brief / | QA76.9.B45 2017 Big Data and Visual Analytics / | QA76.9.B45 2017 Big Data and Visual Analytics / | QA76.9.B45 2017 Big Data and Visual Analytics / | QA76.9.B45 2017 Big Data and Visual Analytics / | QA 76.9.B45 2020 Data Science: From research to application/ |
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.
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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