FP-Viz: Visual Frequent Pattern Mining
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2005
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IEEE Symposium on Information Visualization (InfoVis 05), Minneapolis, MN, USA, October 23 - 25, 2005. 2005
Zusammenfassung
Frequent pattern mining plays an essential role in many data analysis tasks including association-, correlation-, and causality analysis and has broad applications. Examples are market basket analysis and web click stream analysis. Although a number of efficient methods for mining frequent patterns where proposed in the past, there exist only a small number of visual exploration tools for discovering frequent patterns. In this paper we present a novel visualization technique for exploring frequent itemsets interactivly, based on a radial visual layout approach.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Visual Data Exploration, Frequent Pattern Mining, Visualization technique
Konferenz
InfoVis, 23. Okt. 2005 - 25. Okt. 2005, Minneapolis, MN, USA
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ISO 690
KEIM, Daniel A., Jörn SCHNEIDEWIND, Mike SIPS, 2005. FP-Viz: Visual Frequent Pattern Mining. InfoVis. Minneapolis, MN, USA, 23. Okt. 2005 - 25. Okt. 2005. In: IEEE Symposium on Information Visualization (InfoVis 05), Minneapolis, MN, USA, October 23 - 25, 2005. 2005BibTex
@inproceedings{Keim2005FPViz-5650, year={2005}, title={FP-Viz: Visual Frequent Pattern Mining}, booktitle={IEEE Symposium on Information Visualization (InfoVis 05), Minneapolis, MN, USA, October 23 - 25, 2005}, author={Keim, Daniel A. and Schneidewind, Jörn and Sips, Mike} }
RDF
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