DEVise: integrated querying and visual exploration of large datasets
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
DNA visual and analytic data mining
VIS '97 Proceedings of the 8th conference on Visualization '97
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Visualizing Data
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Fusion: interactive coordination of diverse data, visualizations, and mining algorithms
CHI '03 Extended Abstracts on Human Factors in Computing Systems
A user interface for coordinating visualizations based on relational schemata: snap-together visualization
Design Study: Using Multiple Coordinated Views to Analyze Geo-referenced High-dimensional Datasets
CMV '03 Proceedings of the conference on Coordinated and Multiple Views In Exploratory Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
A taxonomy of tasks for guiding the evaluation of multidimensional visualizations
Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
Visualization for privacy compliance
Proceedings of the 3rd international workshop on Visualization for computer security
Multiple coordinated views supporting visual analytics
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
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Multidimensional data sets can be visualized in a variety of forms provided by many techniques described in the literature. Depending on specific tasks, users might need to analyze the same data set using different representations. Moreover, they might need to interact with a view and have the results shown also in the others. This paper presents a system to provide multiple coordinated views of multidimensional data. It activates the coordination of techniques provided by InfoVis as well as visualizations we implemented using its basic resources. We allow users to set which visualizations they want to coordinate through a diagram representing the different visualizations. We present the user-driven coordination scheme and extensions we made in InfoVis to allow coordinated views through different interaction tools.