Big Data and Visual Analytics

✍ Scribed by Sang C. Suh,Thomas Anthony (eds.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 262
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-x
Automated Detection of Central Retinal Vein Occlusion Using Convolutional Neural Network (Bismita Choudhury, Patrick H. H. Then, Valliappan Raman)....Pages 1-21
Swarm Intelligence Applied to Big Data Analytics for Rescue Operations with RASEN Sensor Networks (U. John Tanik, Yuehua Wang, Serkan Güldal)....Pages 23-54
Gender Classification Based on Deep Learning (Dhiraj Gharana, Sang C. Suh, Mingon Kang)....Pages 55-69
Social and Organizational Culture in Korea and Women’s Career Development (Choonhee Yang, Yongman Kwon)....Pages 71-84
Big Data Framework for Agile Business (BDFAB) As a Basis for Developing Holistic Strategies in Big Data Adoption (Bhuvan Unhelkar)....Pages 85-95
Scalable Gene Sequence Analysis on Spark (Muthahar Syed, Taehyun Hwang, Jinoh Kim)....Pages 97-113
Big Sensor Data Acquisition and Archiving with Compression (Dongeun Lee)....Pages 115-143
Advanced High Performance Computing for Big Data Local Visual Meaning (Ozgur Aksu)....Pages 145-164
Transdisciplinary Benefits of Convergence in Big Data Analytics (U. John Tanik, Darrell Fielder)....Pages 165-179
A Big Data Analytics Approach in Medical Imaging Segmentation Using Deep Convolutional Neural Networks (Zheng Zhang, David Odaibo, Frank M. Skidmore, Murat M. Tanik)....Pages 181-189
Big Data in Libraries (Robert Olendorf, Yan Wang)....Pages 191-202
A Framework for Social Network Sentiment Analysis Using Big Data Analytics (Bharat Sri Harsha Karpurapu, Leon Jololian)....Pages 203-217
Big Data Analytics and Visualization: Finance (Shyam Prabhakar, Larry Maves)....Pages 219-229
Study of Hardware Trojans in a Closed Loop Control System for an Internet-of-Things Application (Ranveer Kumar, Karthikeyan Lingasubramanian)....Pages 231-243
High Performance/Throughput Computing Workflow for a Neuro-Imaging Application: Provenance and Approaches (T. Anthony, J. P. Robinson, J. R. Marstrander, G. R. Brook, M. Horton, F. M. Skidmore)....Pages 245-256
Back Matter ....Pages 257-263

✦ Subjects

Information Systems and Communication Service

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