CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge Mining With VxInsight: Discovery ThroughInteraction
Journal of Intelligent Information Systems - Special issue on information visualization: the next frontier
Interface and data architecture for query preview in networked information systems
ACM Transactions on Information Systems (TOIS)
Visualizing association rules with interactive mosaic plots
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Visualisation of Temporal Interval Association Rules
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Visualizing Association Rules for Text Mining
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Inventing discovery tools: combining information visualization with data mining
Information Visualization
Combining visual techniques for Association Rules exploration
Proceedings of the working conference on Advanced visual interfaces
Visualization of directed associations in e-commerce transaction data
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
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The abundance of data available nowadays fosters the need of developing tools and methodologies to help users in extracting significant information. Visual data mining is going in this direction, exploiting data mining algorithms and methodologies together with information visualization techniques. The demand for visual and interactive analysis tools is particularly pressing in the Association Rules context where often the user has to analyze hundreds of rules in order to grasp valuable knowledge. In this paper, we present a visual strategy that exploits a graph-based technique and parallel coordinates to visualize the results of association rule mining algorithms. This helps data miners to get an overview of the rule set they are interacting with and enables them to deeper investigate inside a specific set of rules. The tools developed are embedded in a framework for Visual Data Mining that is briefly described.