VisDB : Database exploration using Multidimensional Visualization. Daniel A. Keim, Hans-Peter Kriegel Institute for Computer Science, University of Munich. Created By. Rohan Ladkhedkar Ajinkya Raulkar Vrushali Date Anuja Surgude. Contents. Introduction to VisDB Basic Idea of VisDB
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Daniel A. Keim, Hans-Peter Kriegel
Institute for Computer Science, University of Munich
Typical difficulties faced with large databases:
Obtain weighting factors (Wj, j Є 1, ……, #sp) as per order of importance from users.
Linear transformation of the range [dmax,dmin] for each predicate
1. Weighted arithmetic mean for ‘AND’ – connected condition part.
Relevance factor is inverse of distance value
In this we generate a separate window for each selection predicate of the query.
Negative distances to left,
Positive distances to right,
For other dimension
Negative distances to bottom,
Positive ones to top