Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Automating the design of graphical presentations of relational information
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KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Content based image retrieval and information theroy: a general approach
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Intelligent Image Processing
Statistics and Data Analysis in Geology
Statistics and Data Analysis in Geology
Visual Cues: Practical Data Visualization
Visual Cues: Practical Data Visualization
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Types and forms of knowledge (patterns): decision trees
Handbook of data mining and knowledge discovery
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
A Taxonomy of Visualization Techniques Using the Data State Reference Model
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Pixel bar charts: a visualization technique for very large multi-attribute data sets
Information Visualization
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Computational aesthetics as a tool for creativity
Proceedings of the 5th conference on Creativity & cognition
Semiology of graphics
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
A Note on Space-Filling Visualizations and Space-Filling Curves
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Information Visualization: Design for Interaction (2nd Edition)
Information Visualization: Design for Interaction (2nd Edition)
Panopticon: a scalable monitoring system
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
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During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has become a crucial element, since there are many situations in which users or analysts have to select the right parameter settings from among many in order to construct insightful visualizations. The right choice of input parameters is essential, since suboptimal parameter settings or the investigation of irrelevant data dimensions make the exploration process more time consuming and may result in wrong conclusions. But finding the right parameters is often a tedious process and it becomes almost impossible for an analyst to find an optimal parameter setting manually because of the volume and complexity of today's data sets. Therefore, we propose a novel approach for automatically determining meaningful parameter- and attribute settings based on the combined analysis of the data space and the resulting visualizations with respect to a given task. Our technique automatically analyzes pixel images resulting from visualizations created from diverse parameter mappings and ranks them according to the potential value for the user. This allows a more effective and more efficient visual data analysis process, since the attribute/parameter space is reduced to meaningful selections and thus the analyst obtains faster insight into the data. Real-world applications are provided to show the benefit of the proposed approach.