Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Innovative Approaches of Data Visualization and Visual Analytics

Innovative Approaches of Data Visualization and Visual Analytics
Author(s)/Editor(s): Mao Lin Huang (University of Technology, Sydney, Australia) and Weidong Huang (CSIRO, Australia)
Copyright: ©2014
DOI: 10.4018/978-1-4666-4309-3
ISBN13: 9781466643093
ISBN10: 1466643099
EISBN13: 9781466643109


View Innovative Approaches of Data Visualization and Visual Analytics on the publisher's website for pricing and purchasing information.


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.

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

Author's/Editor's Biography

Mao Lin Huang (Ed.)
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 (Ed.)
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.


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