Innovative Approaches of Data Visualization and Visual Analytics
- 11h 13m
- Mao Lin Huang, Weidong Huang (eds)
- IGI Global
- 2014
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.
About the Editors
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.
In this Book
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Aesthetics in Data Visualization—Case Studies and Design Issues
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A Visual Analytics Approach for Correlation, Classification, and Regression Analysis
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Understanding Spatial and Non-spatial Cues in Representing Categorical Information
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Feature-Based Uncertainty Visualization
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Cognitive Processes and Traits Related to Graphic Comprehension
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Virtual Reality Technologies (Visual, Haptics, and Audio) in Large Datasets Analysis
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The Importance of Visualization and Interaction in the Anomaly Detection Process
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Understanding Collections and Their Implicit Structures Through Information Visualization
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Highlighting in Visual Data Analytics
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The Quest for Clarity—How Visualization Improves the Usability and User Experience of Contracts
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Articulate—Creating Meaningful Visualizations from Natural Language
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Visualization of Human Behavior Data—The Quantified Self
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From Data-Centered to Activity-Centered Geospatial Visualizations
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An Information Visualization-Based Approach for Exploring Databases—A Case Study for Learning Management Systems
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Visualizing Information-Triage—A Speculative and Metaphoric Interface for Making Sense of Online Searching
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A Framework for Developing Diagram Applications
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Community Management Matters—Advanced Visual Analytics for Online Community Managers
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A Programmer-Centric and Task-Optimized Object Graph Visualizer for Debuggers
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Compilation of References
