Data Visualization: Trends and Challenges Toward Multidisciplinary Perception

ISBN-13: 9789811522819 / Angielski / Twarda / 2020 / 179 str.

Margret Anouncia S; Hardik A. Gohel; Vairamuthu Subbiah

Spis treści

1. Data Visualization – Concept 

● Data visualization principles and values 

● Communicate data driven findings

● Machine learning and data visualization

● Inference and Modeling in data visualization

● Informative datasets and software for reliance data visualization

2. Data Visualization Techniques 

● Improving decision-making skills by boosting visual thinking

● Understanding how people interpret different types of visual information

● Using a wide array of graphs and charts to understand, analyze, and refine data

● Working with multidimensional data and mapping it to graphical elements

● Effective Space Usage , Mapping & Cartography

● Leveraging data visualization and design principles to connect with your audience

3. Data Visualization Tools 

● Building better visualization tools and systems

● Practical approach of building and evaluating visualization systems

● Data visualization graphics API

● Information visualization and information graphics

● communicating, understanding, and analyzing data

4. Data Visualization for Big Data Technologies

● Big data visualization principles

● Process multiple types of incoming data

● Enabling big data analysis visualization in real time

● Single, two and multidimensional big data visualization

● Big data visualizing patterns or on visualizing details

5. Applications of Data Visualizations 

● Data visualization for in-house communication and client reporting

● Marketing content and data visualization

● Collaborative Visual Analysis

● Text and Narrative Visualization

O autorze

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 at Florida 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 lead author 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.

Blurb

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.