Frequency plot and relevance plot to enhance visual data exploration
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![Page 1: Frequency plot and relevance plot to enhance visual data exploration](https://reader036.fdocuments.in/reader036/viewer/2022062513/55757073d8b42a2e248b5101/html5/thumbnails/1.jpg)
Frequency Plot and Relevance Plot to Enhance Visual Data
Exploration
José Fernando Rodrigues Jr.
Agma J. M. Traina
Caetano Traina Jr.
Computer Science Department
University of Sao Paulo - Brazil
http://www.icmc.usp.br/~junio/PublishedPapers/RodriguesJr_et_al_Frequency_Plot-SIBGRAPI2003.pdf
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Outline
• The GBDIView Tool
• Frequency Plot with Interactive Filtering
• Relevance Plot
• Future Works and Conclusions
• Motivation• Motivation
• Visual Statistical Analysis
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Motivation• Increasing volume of data that cannot be well utilized to
produce useful knowledge
• Raw Information Visualization techniques are limited in the task of data analysis
• Datasets might be unlimited both in size and complexity
• There is a need for visualization mechanisms that reduce the drawback of massive datasets.
The efficient use of the data can provide helpful insight in critical decision
making.
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The Problem
• Massively populated datasets tend to result in a visualization scene with an unacceptable level of cluttering;
• Some regions of the data seam like blots in the visualization scene.
• Many Information Visualization techniques have already been proposed to attack these problems
• It is becoming each time more challengeable to create new ones.
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Outline• Motivation
• The GBDIView Tool
• Frequency Plot with Interactive Filtering
• Relevance Plot
• Future Works and Conclusions
• The GBDIView Tool
• Visual Statistical Analysis
![Page 6: Frequency plot and relevance plot to enhance visual data exploration](https://reader036.fdocuments.in/reader036/viewer/2022062513/55757073d8b42a2e248b5101/html5/thumbnails/6.jpg)
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The GBDIView Tool
A preliminary version of a Visualization Environment, and a
partially working idea
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The GBDIView Tool Features
• 4 well-known visualization techniques: Parallel Coordinates, Scatter Plots, Star Coordinates, and Table Lens
• Interaction with Link & Brush and interactive filtering
• Basic statistics presentation
• Enabled with Frequency Plot and Relevance Plot
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Development
• Borland C++ Builder 5
• OpenGL
• Software Component
• Open source
Memory sharing and pipeline support.Highly reusable code.
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Outline• Motivation
• The GBDIView Tool
• Frequency Plot with Interactive Filtering
• Relevance Plot
• Future Works and Conclusions
• Frequency Plot with Interactive Filtering
• Visual Statistical Analysis
![Page 10: Frequency plot and relevance plot to enhance visual data exploration](https://reader036.fdocuments.in/reader036/viewer/2022062513/55757073d8b42a2e248b5101/html5/thumbnails/10.jpg)
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Frequency Plot with Interactive Filtering
• A method that combines the selective filtering technique with an automatic statistical analysis
• The frequency here means how frequently a given attribute value can be found in a dataset
• The frequency is visually presented through the opacity of the graphical items
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Example
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The Breast Cancer Dataset(Cortesy by the University of California at Irvine Machine Learning Laboratory)
• 457 records
• 11 attributes: 1 sample identifier, 9 laboratorial results, 1 attribute for classification
•Attribute “CLASS”: 0 for benign cancer and 1 for malign
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Comparison
• The Frequency Plot is comparatively more powerful than the raw visualization technique
• The probability analysis can reveal clusters in subsets of the dataset
• The behavior of the data is immediately characterized as the user interacts with it
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Outline• Motivation
• The GBDIView Tool
• Frequency Plot with Interactive Filtering
• Relevance Plot
• Future Works and Conclusions
• Visual Statistical Analysis
• Relevance Plot
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Relevance PlotThe data is presented accordingly to its relevance to a
user’s defined set of interesting points
X1
X1 = RP1 + MRD
Relevance = 0
X0 = RP0
Relevance = 1
X0
X2
X3
Null RP2 Not Considered
Dist = 1
Relevance = - 1
The relevance point is over the attribute value
The distance is equal the Maximum relevance
distance The distance is the maximum possible
Relevance = 1 + 0 + (-1) = 0/3 = 0
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Example
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• Provides an interactive fuzzy query in a visual environment
• Allows to discover items of interest in a speculative way
• Extends the interactive filtering approach
Features of the Relevance Plot
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Outline• Motivation
• The GBDIView Tool
• Frequency Plot with Interactive Filtering
• Relevance Plot
• Future Works and Conclusions
• Visual Statistical Analysis• Visual Statistical Analysis
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Visual Statistical Analysis
• Provides a summarization of the data being visualized
• Visually demonstrates meaningful features of the data
• Weaken the drawbacks of analysing too populated data sets
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Visual Statistical Analysis
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Outline• Motivation
• The GBDIView Tool
• Frequency Plot with Interactive Filtering
• Relevance Plot
• Future Works and Conclusions
• Visual Statistic Analysis
• Future Works and Conclusions
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Future Work: Possibilities for Presentation
• Possibility of presentation through many visual effects as size, color hue and color brightness
• Color mappings and 3D effects (depth perception) might also be used
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Future Work: Possibilities for Analysis
• Most basic schema: Euclidean distance, but other distance schemas might be used for additional insights
• Different distance calculus for different dimensions
• Weights for the dimensions
• Customization
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Conclusions
• It is a challenge to discover new visualization techniques that, in raw format, can contribute to visual analysis
• Visualization techniques should be improved by automatic analysis mechanisms joined with interaction techniques
• The Frequency Plot and Relevance Plot methods can enhance visualization techniques of almost all kinds
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The End
Thanks for coming