70% OFF

Big Data and Visual Analytics 2017 Edition, ISBN-13: 978-3319639154

$14.99

SKU: big-data-and-visual-analytics-2017-edition-isbn-13-978-3319639154 Category: Tags: , , ,

Description

Big Data and Visual Analytics 2017 Edition, ISBN-13: 978-3319639154

[PDF eBook eTextbook]

 

  • 273 pages
  • Publisher: Springer; 1st ed. 2017 edition (January 17, 2018)
  • Author(s): Sang C. Suh, Thomas Anthony
  • Language: English
  • ISBN-10: 3319639153
  • ISBN-13: 978-3319639154

 

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.

What makes us different?

• Instant Download

• Always Competitive Pricing

• 100% Privacy

• FREE Sample Available

• 24-7 LIVE Customer Support

Reviews

There are no reviews yet.

Be the first to review “Big Data and Visual Analytics 2017 Edition, ISBN-13: 978-3319639154”
Cart
Understanding Management 10th Edition Richard L. Daft, ISBN-13: 978-1305502215Understanding Management 10th Edition Richard L. Daft, ISBN-13: 978-1305502215
$8.57
×
The Principles of Deep Learning Theory Daniel A. Roberts, ISBN-13: 978-1316519332The Principles of Deep Learning Theory Daniel A. Roberts, ISBN-13: 978-1316519332
$17.36
×
Strength in Numbers: The Rising of Academic Statistics Departments in the U. S., ISBN-13: 978-1461436485Strength in Numbers: The Rising of Academic Statistics Departments in the U. S., ISBN-13: 978-1461436485
$14.25
×
Encyclopedia of Information Science and Technology, 4th Edition (10 Volumes)Encyclopedia of Information Science and Technology, 4th Edition (10 Volumes)
$17.00
×
Statistics: Informed Decisions Using Data 5th Global Edition, ISBN-13: 978-1292157115Statistics: Informed Decisions Using Data 5th Global Edition, ISBN-13: 978-1292157115
$19.98
×
The Personal MBA 10th Anniversary Edition Josh Kaufman, ISBN-13: 978-0525543022The Personal MBA 10th Anniversary Edition Josh Kaufman, ISBN-13: 978-0525543022
$6.46
×
The Basic Practice of Statistics 8th Edition, ISBN-13: 978-1319042578The Basic Practice of Statistics 8th Edition, ISBN-13: 978-1319042578
$14.55
×
The Black Swan: The Impact of the Highly Improbable, ISBN-13: 978-1400063512The Black Swan: The Impact of the Highly Improbable, ISBN-13: 978-1400063512
$9.99
×
Comprehensive Clinical Nephrology (6th Edition) – eBookComprehensive Clinical Nephrology (6th Edition) – eBook
$11.98
×
Transactional Lawyering Skills by Richard K. Neumann Jr., ISBN-13: 978-1454822325Transactional Lawyering Skills by Richard K. Neumann Jr., ISBN-13: 978-1454822325
$14.99
×
Python for Everyone 2nd Edition by Cay S. Horstmann, ISBN-13: 978-1119056553Python for Everyone 2nd Edition by Cay S. Horstmann, ISBN-13: 978-1119056553
$18.70
×