Yuqing Yang CS548 Showcase Prof. Carolina Ruiz Visualizing Association Rules in Groceries 1 Hahsler M, Chelluboina S. Visualizing Association Rules: Introduction to the R-extension Package arulesVizJ. R project module, 2011. 2 Wong P
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Yuqing Yang
CS548 Showcase Prof. Carolina Ruiz Visualizing Association Rules in Groceries<br>
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[1] Hahsler M, Chelluboina S. Visualizing Association Rules: Introduction to the R-extension Package arulesViz[J]. R project module, 2011.
[2] Wong P C, Whitney P, Thomas J. Visualizing association rules for text mining[C]//Information Visualization, 1999.(Info Vis' 99) Proceedings. 1999 IEEE Symposium on. IEEE, 1999: 120-123, 152.
[3] Ertek, Gürdal, and Ayhan Demiriz. "A framework for visualizing association mining results." Computer and Information Sciences–ISCIS 2006. Springer Berlin Heidelberg, 2006. 593-602.
[4] Hofmann, Heike, Arno PJM Siebes, and Adalbert FX Wilhelm. "Visualizing association rules with interactive mosaic plots." Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2000.
[5] Jeffrey Heer, Stuart K. Card, James Landay (2005). "Prefuse: a toolkit for interactive information visualization". In: ACM Human Factors in Computing Systems CHI 2005. 4/29/2014 2 References<br>
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Axes: two interest measures.
Color (gray level) – a third measure. 4/29/2014 3 1. Scatter Plot Figure 1: Scatter Plot[1]<br>
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Color – Order, the number of items contained in the rule. 4/29/2014 4 Two-key plot Figure 2: Scatter Plot[1]<br>
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4/29/2014 5 2. Matrix-based Visualizations Figure 3: Matrix-based visualization of two measures with colored squares[1] Figure 4: Matrix-based visualization of two measures with colored squares (reordered)[1]<br>
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4/29/2014 6 Matrix-based Visualizations<br>
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4/29/2014 7 Matrix-based Visualizations 3D Bars Figure 5: Matrix-based visualization with 3D bars[1]<br>
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Columns -- antecedent groups
Rows – consequents
Color – aggregated interest measure
Size of ballo0n -- aggregated support 4/29/2014 8 3. Grouped Matrix-based Visualization Figure 6: Grouped matrix with k=?[1]<br>
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4/29/2014 9<br>
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4/29/2014 10 4. Graph-based Visualizations Figure 8: Itemsets as vertices[1] Figure 9: Rules as vertices[1]<br>
To visualize multidimensional data.
X-axis -- the positions in a rule,
i.e., first item, second item, etc.
Head of arrow -- points to the consequent item.
The width of the arrows -- support
The intensity of the color -- confidence. Parallel Coordinates Plot 4/29/2014 12<br>
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A visualization of item associations with support > 0.4% and confidence > 50%. 4/29/2014 13 Visualizing AR in Text Mining Figure 11: A visualization of item associations)[2]<br>
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Prefuse: a toolkit for interactive information visualization
Provides theoretically-motivated abstractions for the design of a wide range of visualization applications, enabling programmers to string together desired components quickly to create and customize working visualizations[5]
E.g. racialgraphic
Ajax.org (Javascript)
AnyChart (Flash)
Axiis
Degrafa
ExtJs 4/29/2014 14 Infovis application Framework<br>
