Publication Details

Approach to Visualisation of Evolving Association Rule Models

HLOSTA, M.; HRUŠKA, T.; ŠEBEK, M.; ZENDULKA, J. Approach to Visualisation of Evolving Association Rule Models. 2012. p. 0-0.
Type
miscellaneous
Language
English
Authors
Hlosta Martin, Ing., Ph.D.
Hruška Tomáš, prof. Ing., CSc. (DIFS)
Šebek Michal, Ing., Ph.D.
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
Keywords

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

Abstract

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
2012
Pages
12
BibTeX 
@misc{BUT192841,
  author="Martin {Hlosta} and Tomáš {Hruška} and Michal {Šebek} and Jaroslav {Zendulka}",
  title="Approach to Visualisation of Evolving Association Rule Models",
  year="2012",
  pages="12",
  url="https://www.fit.vut.cz/research/publication/10094/",
  note="miscellaneous"
}
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