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Format: Hardcover EAN: 9783319639154 Subject Area: Mathematics, Computers Item Weight: 20.5 Oz Edition: 1st ed. 2017 Release Year: 2018 height: 235mm Country of Origin: CH Subject: Intelligence (Ai) & Semantics, Networking / General, Graphic Methods, Databases / Data Mining, Databases / General Item Length: 9.3 in Number of Pages: X, 263 Pages Book Title: Big Data and Visual Analytics Publication Name: Big Data and Visual Analytics Type: Textbook Release Date: 01/17/2018 Contributor: Sang C. Suh (Edited by) Genre: Computing & Internet Publisher: Springer International Publishing A&G Publication Year: 2018 ISBN: 9783319639154 Item Width: 6.1 in Language: English Item Height: 235mm width: 6.1 in Author: Thomas Anthony

Description

Big Data and Visual Analytics (Hardback). 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. Further DetailsTitle: Big Data and Visual Analytics Condition: New Description: 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. Contributor: Thomas Anthony (Edited by), Sang C. Suh (Edited by) Format: Hardback EAN: 9783319639154 ISBN: 9783319639154 Edition: 1st ed. 2017 Genre: Computing & Internet Country/Region of Manufacture: CH Item Height: 235mm Item Length: 155mm Publisher: Springer International Publishing AG Release Date: 01/17/2018 Language: English Release Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.