Big Data and Visual Analytics

Big Data and Visual Analytics

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Written by
Published by Springer
Published Feb, 2018
ISBN 10 3319639153
ISBN 13 9783319639154
Pages 263
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Description of Big Data and Visual Analytics


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


Chapter 1. Automated Detection of Central Retinal Vein Occlusion Using Convolutional Neural Network
Chapter 2. Swarm Intelligence Applied to Big Data Analytics for Rescue Operations with RASEN Sensor Networks
Chapter 3. Gender Classification Based on Deep Learning
Chapter 4. Social and Organizational Culture in Korea and Women's Career Development
Chapter 5. Big Data Framework for Agile Business (BDFAB) As a Basis for Developing Holistic Strategies in Big Data Adoption
Chapter 6. Scalable Gene Sequence Analysis on Spark
Chapter 7. Big Sensor Data Acquisition and Archiving with Compression
Chapter 8. Advanced High Performance Computing for Big Data Local Visual Meaning
Chapter 9. Transdisciplinary Benefits of Convergence in Big Data Analytics
Chapter 10. A Big Data Analytics Approach in Medical Imaging Segmentation Using Deep Convolutional Neural Networks
Chapter 11. Big Data in Libraries
Chapter 12. A Framework for Social Network Sentiment Analysis Using Big Data Analytics
Chapter 13. Big Data Analytics and Visualization: Finance
Chapter 14. Study of Hardware Trojans in a Closed Loop Control System for an Internet-of-Things Application
Chapter 15. High Performance/Throughput Computing Workflow for a Neuro-Imaging Application: Provenance and Approaches

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