Innovative Approaches of Data Visualization and Visual Analytics
Book Citation Index

Innovative Approaches of Data Visualization and Visual Analytics

Mao Lin Huang (University of Technology, Sydney, Australia) and Weidong Huang (CSIRO, Australia)
Indexed In: SCOPUS View 2 More Indices
Release Date: July, 2013|Copyright: © 2014 |Pages: 464
ISBN13: 9781466643093|ISBN10: 1466643099|EISBN13: 9781466643109|DOI: 10.4018/978-1-4666-4309-3


Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems.

Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Algorithms, Techniques, and Applications
  • Cognitive Processes
  • Database Technologies
  • Graphic Representations
  • Human Behavior
  • Learning Management Systems
  • Online Communities
  • Regression Analysis
  • Usability and User Experience

Reviews and Testimonials

The 18 papers selected for this collection present new research on visualization techniques for analyzing large amounts of complex data in different fields and potential applications in psychology, anomaly detection, and online community management. The contributors propose a visual data mining framework for correlation and classification, a three-later model of highlighting, a conversational interface for generating visualizations, an object graph visualizer for debuggers, and a framework for developing diagrams. Other topics include visualization of business contracts and human behavior data, human activity-centered geospatial visualizations, feature-based uncertainty visualization, and virtual reality technologies for large dataset analysis.

– Annotation ©2013 Book News Inc. Portland, OR

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Mao Lin Huang is Associate Professor and Director of Visualization Lab, at the Faculty of Engineering & IT, University of Technology, Sydney, Australia. His current research interests include information visualization, visual analytics, graph drawing, visual user interface, web navigation and software engineering; and he has published over 120 papers in these areas.
Weidong Huang is a researcher with CSIRO, Australia. His research interests include HCI, CSCW, Human Factors and Visualization. He has published a number of papers in these areas.