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Data Visualization

Trends and Challenges Toward Multidisciplinary Perception

  • Book
  • © 2020

Overview

Editors:
  1. S. Margret Anouncia

    1. Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

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  2. Hardik A. Gohel

    1. Department of Computer Science, University of Houston-Victoria, Victoria, USA

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  3. Subbiah Vairamuthu

    1. Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

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  • Represents data visualization in multidisciplinary percetion
  • Includes tips on how to protect flash sites from hackers
  • Presents in-depth analyses of various approaches across several disciplines

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Narrative and Text Visualization: A Technique to Enhance Teaching Learning Process in Higher Education

    • S. Anupama Kumar, M. N. Vijayalakshmi, Shaila H. Koppad, Andhe Dharani
    Pages 1-13

  3. Data Visualization and Analysis for Air Quality Monitoring Using IBM Watson IoT Platform

    • K. S. Umadevi, D. Geraldine Bessie Amali
    Pages 15-32

  4. Comparative Analysis of Tools for Big Data Visualization and Challenges

    • G. Divya Zion, B. K. Tripathy
    Pages 33-52

  5. Data Visualization Techniques: Traditional Data to Big Data

    • Parul Gandhi, Jyoti Pruthi
    Pages 53-74

  6. Data Visualization: Visualization of Social Media Marketing Analysis Data to Generate Effective Business Revenue Model

    • Aditya Chellam, Ayush Chaturvedi, L. Ramanathan
    Pages 75-92

  7. Applications of Visualization Techniques

    • Deepak Kochhar, S. P. Meenakshi, Satakshi Dubey
    Pages 93-114

  8. Evaluation of IoT Data Visualization Tools and Techniques

    • Suresh K. Peddoju, Himanshu Upadhyay
    Pages 115-139

  9. Data Visualization: Experiment to Impose DDoS Attack and Its Recovery on Software-Defined Networks

    • Bhargavi Goswami, Stanly Wilson, Saleh Asadollahi, Tony Manuel
    Pages 141-160

  10. Data Visualization of Software-Defined Networks During Load Balancing Experiment Using Floodlight Controller

    • Mohammed Asif Khan, Bhargavi Goswami, Saleh Asadollahi
    Pages 161-179
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Keywords

About this book

This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.

Editors and Affiliations

  • Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

    S. Margret Anouncia, Subbiah Vairamuthu

  • Department of Computer Science, University of Houston-Victoria, Victoria, USA

    Hardik A. Gohel

About the editors

Dr Margret Anouncia S is a Professor at Vellore Institute of Technology (VIT) University in India. She received her bachelor’s degree in Computer Science and Engineering from Bharathidasan University (1993), Tiruchirappalli, India, and master’s degree in Software Engineering from Anna University (2000), Chennai, India. She was awarded a doctorate in Computer Science and Engineering at VIT University (2008). Her main areas of interest include digital image processing, software engineering, and knowledge engineering. She is the lead author of more than 60 publications in technical journals and proceedings of national and international conferences.
 
Dr Hardik Gohel is an assistant professor in computer science and program director of computer information system at University of Houston – Victoria, TX, USA. Postdoctoral Fellow at the Applied Research Center of Florida International University. He worked as a postdoc fellow in cybersecurity and data science atFlorida International University – Miami, FL, USA, from 2016–2019. He holds a Ph.D. in Computer Science, awarded in 2015. Dr. Gohel has extensive research experience in artificial intelligence and his research projects have involved cyber test automation and monitoring, smart bandages for wound monitoring, bigdata for security intelligence, trustworthy cyberspace for security and privacy of social media, predictive maintenance for nuclear infrastructure, and database and mobile forensics infrastructure. Dr. Gohel is also working on how to prepare quality diversified workforce with artificial intelligence in science, technology, engineering and mathematics (STEM) education.


Dr S Vairamuthu is an Associate Professor at Vellore Institute of Technology (VIT) University in India. He received bachelor’s and master’s degrees in Computer Science and Engineering from Ayya Nadar Janaki Ammal College (Autonomous), affiliated to Madurai Kamaraj University. He is the leadauthor of more than 20 publications in technical journals and proceedings of national and international conferences. His main areas of interest include human–computer interaction, recommendation systems, machine learning, big data and IoT, and computational intelligence.

Bibliographic Information

  • Book Title: Data Visualization

  • Book Subtitle: Trends and Challenges Toward Multidisciplinary Perception

  • Editors: S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu

  • DOI: https://doi.org/10.1007/978-981-15-2282-6

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-15-2281-9Published: 04 March 2020

  • Softcover ISBN: 978-981-15-2284-0Published: 04 March 2021

  • eBook ISBN: 978-981-15-2282-6Published: 03 March 2020

  • Edition Number: 1

  • Number of Pages: XII, 179

  • Number of Illustrations: 16 b/w illustrations, 126 illustrations in colour

  • Topics: Big Data, Data Structures, Systems and Data Security, Computer Appl. in Administrative Data Processing

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