Big Data and Visual Analytics

  • Sang C. Suh
  • Thomas Anthony

Table of contents

  1. Front Matter
    Pages i-x
  2. Bismita Choudhury, Patrick H. H. Then, Valliappan Raman
    Pages 1-21
  3. Dhiraj Gharana, Sang C. Suh, Mingon Kang
    Pages 55-69
  4. Muthahar Syed, Taehyun Hwang, Jinoh Kim
    Pages 97-113
  5. U. John Tanik, Darrell Fielder
    Pages 165-179
  6. Zheng Zhang, David Odaibo, Frank M. Skidmore, Murat M. Tanik
    Pages 181-189
  7. Robert Olendorf, Yan Wang
    Pages 191-202
  8. Bharat Sri Harsha Karpurapu, Leon Jololian
    Pages 203-217
  9. Shyam Prabhakar, Larry Maves
    Pages 219-229
  10. T. Anthony, J. P. Robinson, J. R. Marstrander, G. R. Brook, M. Horton, F. M. Skidmore
    Pages 245-256
  11. Back Matter
    Pages 257-263

About these proceedings


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.


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

  • Sang C. Suh
    • 1
  • Thomas Anthony
    • 2
  1. 1.Department of Computer ScienceTexas A&M University-CommerceCommerceUSA
  2. 2.Department of Electrical and Computer EngineeringThe University of Alabama at BirminghamBirminghamUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-63915-4
  • Online ISBN 978-3-319-63917-8
  • Buy this book on publisher's site