The visual display of quantitative information
The visual display of quantitative information
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Intelligent decision support methods: the science of knowledge work
Intelligent decision support methods: the science of knowledge work
Visualizing the evolution of Web ecologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Top ten visualization problems
ACM SIGGRAPH Computer Graphics
The New Science of Management Decision
The New Science of Management Decision
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Visual Intelligence - Turning Data Into Knowledge
IV '99 Proceedings of the 1999 International Conference on Information Visualisation
A spreadsheet approach to information visualization
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
A Taxonomy of Visualization Techniques Using the Data State Reference Model
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Visual Analytics in the Pharmaceutical Industry
IEEE Computer Graphics and Applications
Top 10 Unsolved Information Visualization Problems
IEEE Computer Graphics and Applications
Software Design Patterns for Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Beautiful Evidence
Information Visualization: Beyond the Horizon
Information Visualization: Beyond the Horizon
Visualization of web spaces: state of the art and future directions
ACM SIGMIS Database
Big data from the built environment
Proceedings of the 2nd international workshop on Research in the large
Behavior scoring model for coalition loyalty programs by using summary variables of transaction data
Expert Systems with Applications: An International Journal
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Advanced visualization systems have been widely adopted by decision makers for dealing with problems involving spatial, temporal and multi-dimensional features. While these systems tend to provide reasonable support for particular paradigms, domains, and data types, they are very weak when it comes to supporting multi-paradigm, multi-domain problems that deal with complex spatio-temporal multi-dimensional data. This has led to visualizations that are context insensitive, data dense, and sparse in intelligence. There is a crucial need for visualizations that capture the essence of the relevant information in limited visual spaces allowing decision makers to take better decisions with less effort and time. To address these problems and issues, we propose a visual decision making process that increases the intelligence density of information provided by visualizations. To support this we propose a mechanism by which one could judge the intelligence density of visualizations. Furthermore, we propose and implement a framework and architecture to support the above process in a manner that is independent of data, domain, and paradigm. The system allows decision makers to create, manipulate, layer and view visualizations flexibly enabling the increase in the density of intelligence that they provide.