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Big Data and Visual Analytics 1st edition by Sang Suh, Thomas Anthony ISBN 3319639178 9783319639178

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Product details:

ISBN 10: 3319639178
ISBN 13: 9783319639178
Author: Sang Suh, Thomas Anthony

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 and Visual Analytics 1st Table of contents:

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

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Tags: Sang Suh, Thomas Anthony, Big Data, Visual Analytics