Publication Details

Approach to Visualisation of Evolving Association Rule Models

HLOSTA, M.; ŠEBEK, M.; ZENDULKA, J. Approach to Visualisation of Evolving Association Rule Models. Proceedings of The Second International Conference on Informatics & Applications (ICIA 2013). Łódź: The Society of Digital Information and Wireless Communications, 2013. p. 47-52. ISBN: 978-1-4673-5255-0.
Czech title
Přístup k vizualizaci vyvíjejících se asociačních pravidel
Type
conference paper
Language
English
Authors
Hlosta Martin, Ing., Ph.D.
Šebek Michal, Ing., Ph.D.
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
Keywords

evolving models, data mining visualization, graph based visualization, force-based layout

Abstract

Visualization of evolving data mining models can allow good insight for a data analyst about these models and their changes in time. This paper presents our approach to visualization of evolving association rule models. This approach is based on graph visualization where nodes of the graph represent itemsets, and edges represent association rules. We show how evolving models, produced by data mining algorithms, are stored in the knowledge base, and then how they can be filtered and visualized. Two ways of graph based visualization of evolving models are shown using force based layout algorithms - local and global layout. Experiments with both are illustrated with emphasis on the latter.

Published
2013
Pages
47–52
Proceedings
Proceedings of The Second International Conference on Informatics & Applications (ICIA 2013)
ISBN
978-1-4673-5255-0
Publisher
The Society of Digital Information and Wireless Communications
Place
Łódź
BibTeX 
@inproceedings{BUT103546,
  author="Martin {Hlosta} and Michal {Šebek} and Jaroslav {Zendulka}",
  title="Approach to Visualisation of Evolving Association Rule Models",
  booktitle="Proceedings of The Second International Conference on Informatics & Applications (ICIA 2013)",
  year="2013",
  pages="47--52",
  publisher="The Society of Digital Information and Wireless Communications",
  address="Łódź",
  isbn="978-1-4673-5255-0",
  url="https://www.fit.vut.cz/research/publication/10418/"
}
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