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ACM SIGMOD Record
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Visual classification: an interactive approach to decision tree construction
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
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ACM SIGKDD Explorations Newsletter
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IEEE Transactions on Visualization and Computer Graphics
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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OSSM: A Segmentation Approach to Optimize Frequency Counting
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
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ACM Transactions on Database Systems (TODS)
IEEE Computer Graphics and Applications
Pruning and Visualizing Generalized Association Rules in Parallel Coordinates
IEEE Transactions on Knowledge and Data Engineering
Information Visualization: Design for Interaction (2nd Edition)
Information Visualization: Design for Interaction (2nd Edition)
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Interactive visual exploration of association rules with rule-focusing methodology
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The persuasive phase of visualization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
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ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Session Viewer: Visual Exploratory Analysis of Web Session Logs
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
FpViz: a visualizer for frequent pattern mining
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FIsViz: a frequent itemset visualizer
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PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
CloseViz: visualizing useful patterns
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FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
MIME: a framework for interactive visual pattern mining
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
RadialViz: an orientation-free frequent pattern visualizer
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
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As frequent pattern mining plays an essential role in many knowledge discovery and data mining (KDD) tasks, numerous algorithms for finding frequent patterns have been proposed over the past 15 years. However, most of these algorithms return the mining results in the form of textual lists containing frequent patterns showing those frequently occurring sets of items. It is well known that "a picture is worth a thousand words". The use of visual representation can enhance the user's understanding of the inherent relations in a collection of frequent patterns. In this paper, we develop a simple yet useful visual analytic tool for supporting frequent pattern mining called FpVAT. Such a visual analytic tool consists of two modules: One module gives users an overview so that they can derive insight from a massive amount of raw data; another module enables users to perform analytical reasoning on the mining results via interactive visual interfaces so that users can detect the expected frequent patterns and discover the unexpected frequent patterns. As a visual analytic tool, our FpVAT is equipped with several interactive features for effective visual support in the data analysis and KDD process for various real-life applications.