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VisDB Visual Data Mining and Database Exploration

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VisDB. Visual Data Mining and Database Exploration. Ming Luo. Rui Yang. Characteristics ... Easy to slightly adjust the selection condition in a query. Graphic ... – PowerPoint PPT presentation

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Title: VisDB Visual Data Mining and Database Exploration


1
VisDB Visual Data Mining and Database Exploration
  • Ming Luo
  • Rui Yang

2
Characteristics
  • Five Visualization Techniques
  • Graphic Query Interface
  • Graphic query result presentation
  • Easy to slightly adjust the selection condition
    in a query

3
(No Transcript)
4
Graphic Query Interface
5
Basic Visualization Technique
Spiral arrangement and Coloration
Coloration Yellow is exactly matching. Black are
no relevance. Yellow, green, blue, red, brown,
black.
6
Calculating the relevance factors
  • sp
  • Combined Distance ? Wj dij in case of
    AND
  • j1
  • sp
  • Combined Distance ? dijWj in case of OR
  • j1
  • Relevance factor is the inverse of distance value

7
Arrangement for Displaying five-dimensional data
8
2D Arrangement Displaying
9
Grouping Technique
10
Example 1
  • EX.1 1,000 eight-dimensional data items with
    five clusters

11
Example 2
  • EX.2 7,000 eight-dimensional data items with
    five clusters

12
Example 3
  • EX.3 100,000 five dimensional data items
    containing five clusters

13
Thank you !
  • Questions and discussion.
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