Visualizing Association R ules in Groceries

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Visualizing Association R ules in Groceries. Yuqing Yang CS548 Showcase Prof. Carolina Ruiz. References. [1] Hahsler M, Chelluboina S. Visualizing Association Rules: Introduction to the R-extension Package arulesViz [J]. R project module, 2011. - PowerPoint PPT Presentation

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Yuqing YangCS548 Showcase Prof. Carolina RuizVisualizing Association Rules in Groceries[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, Grdal, and Ayhan Demiriz. "A framework for visualizing association mining results."Computer and Information SciencesISCIS 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 SystemsCHI 2005.

4/29/20142ReferencesAxes: two interest measures.Color (gray level) a third measure.4/29/201431. Scatter PlotFigure 1: Scatter Plot[1]

Color Order, the number of items contained in the rule.4/29/20144Two-key plot

Figure 2: Scatter Plot[1]4/29/201452. 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]4/29/20146Matrix-based Visualizations4/29/20147Matrix-based Visualizations 3D Bars

Figure 5: Matrix-based visualization with 3D bars[1]Columns -- antecedent groupsRows consequentsColor aggregated interest measureSize of ballo0n -- aggregated support

4/29/201483. Grouped Matrix-based Visualization

Figure 6: Grouped matrix with k=?[1]4/29/20149

4/29/2014104. Graph-based Visualizations

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

Figure 10: Parallel coordinate plot (reordered)[1]5.Parallel Coordinates Plot

4/29/201411To 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 Plot4/29/201412A visualization of item associations with support > 0.4% and confidence > 50%.4/29/201413Visualizing AR in Text Mining

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

4/29/201414Infovis application Framework

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/

4/29/201415Inforvis Software and tools