Yuqing Yang

CS548 Showcase Prof. Carolina Ruiz

Visualizing Association Rules in Groceries

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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.

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References

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Axes: two interest measures.

Color (gray level) – a third measure.

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1. Scatter Plot

Figure 1: Scatter Plot[1]

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Color – Order, the number of items contained in the rule.

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Two-key plot

Figure 2: Scatter Plot[1]

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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]

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Explore different antecedents which have a similar impact on the same consequent in terms of the measure used in the plot.

X-axes – consequent itemsets.Y-axes – consequent itemsets. is the selected interest measure for the i-th

rule.

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Matrix-based Visualizations

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Matrix-based Visualizations 3D Bars

Figure 5: Matrix-based visualization with 3D bars[1]

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Columns -- antecedent groupsRows – consequentsColor – aggregated interest measureSize of ballo0n -- aggregated support

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3. Grouped Matrix-based Visualization

Figure 6: Grouped matrix with k=?[1]

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4. Graph-based Visualizations

Figure 8: Itemsets as vertices[1]Figure 9: Rules as vertices[1]

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Figure 10: Parallel coordinate plot (reordered)[1]

5.Parallel Coordinates Plot

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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 -- supportThe intensity of the color -- confidence.

Parallel Coordinates Plot

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A visualization of item associations with support > 0.4% and confidence > 50%.

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Visualizing AR in Text Mining

Figure 11: A visualization of item associations)[2]

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Prefuse: a toolkit for interactive information visualizationProvides 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. racialgraphicAjax.org (Javascript)AnyChart (Flash)AxiisDegrafaExtJs

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Infovis application Framework

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SoftwarePanopticon http://www.panopticon.com/Circos (Perl) http://circos.ca/Balsamiq (hand-draw style)

http://webdemo.balsamiq.com/Web infovis

Easel.ly (story telling) http://www.easel.ly/Piktochart http://piktochart.com/Visual.ly http://visual.ly/Infogr.am http://infogr.am/

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Inforvis Software and tools