Data Visualization
Trends and Challenges Toward Multidisciplinary Perception
1st Edition
Published on 3. March 2020
XII, 179 pages
978-981-15-2282-6 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XII, 179 p. 142 illus., 126 illus. in color.
File size
11,72 MB
ISBN-13
978-981-15-2282-6 (9789811522826)
DOI
10.1007/978-981-15-2282-6
Schweitzer Classification
Other editions
Additional editions
S. Margret Anouncia | Hardik A. Gohel | Subbiah Vairamuthu
Data Visualization
Trends and Challenges Toward Multidisciplinary Perception
Book
03/2020
Springer
€171.19
Shipment within 3-4 weeks
Persons
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.
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.
Content
Narrative and Text Visualization: A Technique to Enhance Teaching Learning Process in Higher Education.- Data visualization and analysis for Internet of Things using IBM Watson IoT Platform.-Comparative Analysis of Tools for Big Data Visualization and Challenges.-Data Visualization Techniques: Traditional Data to Big Data.- Data Visualization: Visualization of Social Media Marketing Analysis Data to Generate Effective Business Revenue Model.
