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FpMapViz: A Space-Filling Visualization for Frequent Patterns

Since the introduction of frequent pattern mining, majority of the studies have been focused on algorithmic efficiency. Many algorithms return the mining results in textual forms -- i.e., a long textual list of frequent patterns. However, it is well established that visual representation can be more compact and more comprehensive to users in visually revealing frequent patterns than textual representation. Existing visualizers mainly focus on showing frequency information of every frequent pattern, and thus ignore relationships (e.g., prefix/extension) among the mined patterns. Inspired by the tree map representation of hierarchical data, we propose in this paper a space-filling visualizer called FpMapViz for showing frequency information of every frequent pattern as well as prefix/extension relationships among the mined patterns

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137463&isnumber=6137352

C. K. Leung, F. Jiang and P. P. Irani, "FpMapViz: A Space-Filling Visualization for Frequent Patterns," 2011 IEEE 11th International Conference on Data Mining Workshops, Vancouver, BC, Canada, 2011, pp. 804-811.
doi: 10.1109/ICDMW.2011.86
keywords: {Visualization;Itemsets;Color;Data visualization;Data mining;Joining processes;Educational institutions;Large scale visual analytics;visual data mining;association analysis;human-machine interaction;pattern discovery;data and result visualization;frequent itemsets},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137463&isnumber=6137352

Bibtext Entry

@INPROCEEDINGS{6137463,
author={C. K. {Leung} and F. {Jiang} and P. P. {Irani}},
booktitle={2011 IEEE 11th International Conference on Data Mining Workshops}, title={FpMapViz: A Space-Filling Visualization for Frequent Patterns},
year={2011},
volume={},
number={},
pages={804-811},
doi={10.1109/ICDMW.2011.86}}

Authors

Pourang Irani

Pourang Irani

Professor
Canada Research Chair