1. Yuqing Yang CS548 Showcase Prof. Carolina Ruiz

2. [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

3. Axes: two interest measures. Color (gray level) – a third measure. 4/29/2014 3 Figure 1: Scatter Plot [1]

4. Color – Order, the number of items contained in the rule. 4/29/2014 4 Figure 2: Scatter Plot [1]

5. 4/29/2014 5 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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7. 7 Figure 5: Matrix-based visualization with 3D bars [1]

8. Columns -- antecedent groups Rows – consequents Color – aggregated interest measure Size of ballo0n -- aggregated support 4/29/2014 8 Figure 6: Grouped matrix with k=? [1]

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10. 10 Figure 8: Itemsets as vertices [1] Figure 9: Rules as vertices [1]

11. Figure 10: Parallel coordinate plot (reordered) [1] 4/29/2014 11

12. 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. 4/29/2014 12

13. A visualization of item associations with support > 0.4% and confidence > 50%. 4/29/2014 13 Figure 11: A visualization of item associations) [2]

14. 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

15. Software Panopticon http://www.panopticon.com/http://www.panopticon.com/ Circos (Perl) http://circos.ca/http://circos.ca/ Balsamiq (hand-draw style) http://webdemo.balsamiq.com/ http://webdemo.balsamiq.com/ Web infovis Easel.ly (story telling) http://www.easel.ly/http://www.easel.ly/ Piktochart http://piktochart.com/http://piktochart.com/ Visual.ly http://visual.ly/http://visual.ly/ Infogr.am http://infogr.am/http://infogr.am/ 4/29/2014 15