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An Extension of Table Lens

An Extension of Table Lens. CPSC 533 Information Visualization Course Project, Term 2, 2003 Fengdong Du. Table Lens Technique. Show a large amount of information in a relatively small table. Preserve Global context Detail-on-demand presentation Support simple pattern discovery.

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An Extension of Table Lens

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  1. An Extension of Table Lens CPSC 533 Information Visualization Course Project, Term 2, 2003 Fengdong Du

  2. Table Lens Technique • Show a large amount of information in a relatively small table. • Preserve Global context • Detail-on-demand presentation • Support simple pattern discovery

  3. Extension of Table Lens • Display not only large amount of data but also relatively large dimensionality. • Combine data mining techniques to facilitate discovering more complicated pattern.

  4. Project Proposal: Combine Table Len with Classification Rule Mining

  5. Classification Mining • Generate classification rules given a set of training data. • Class label is treated as a function of a set of non-class attribute. • Find the minimum set of attributes that predict the class attribute with high accuracy.

  6. Example Rule: Outlook=overcast PlayTennis=Yes

  7. Combining Table Len with Classification Rule Mining • Put class label attribute and class predict as the most interested attribute. • Class attribute and class predict are never demagnified.

  8. (Continued) • All the remaining attributes are demagnified by their “importance” of classing the data. • Possibly show a relatively large dimensionality, e.g. less than 50 attributes.

  9. (Continued) • Attribute details are showed when users move focus to head of that column. • Data record details are showed when users move focus to that row.

  10. (subject to a lot of change and improvement)

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