Ludwig-Maximilians-Universität München, Institut für Informatik
Technical Report 94-13
- TITLE:
-
VisDB: Database Exploration Using Multidimensional Visualization
- DATE:
-
September 1994
- AUTHORS:
- Daniel A. Keim
- Hans-Peter Kriegel
- {keim, kriegel}@informatik.uni-muenchen.de
- Institut für Informatik
- Universität München
- Leopoldstr. 11B
- D-80802 München (Germany)
- KEYWORDS:
-
Visualizing Large Data Sets, Visualizing Multidimensional Multivariate Data, Data Exploration and Analysis, Visual Query Support, Interfaces to Database Systems
- ABSTRACT:
-
In this paper we describe the VisDB system, which allows an exploration of
large databases using visualization techniques. The goal of the system is to
support the query specification process by using each pixel of the display to
represent one data item of the database. By arranging and coloring the pixels
according to the relevance of the data items with respect to the query, the
user gets a visual impression of the resulting data set. Using sliders for
each condition of the query, the user may change the query dynamically and
receives immediate feedback from the visual representation of the resulting
data set. Different visualization techniques are available for different
stages of exploration. The first technique uses multiple windows for the
different query parts, providing visual feedback for each part of the query
and helping the user to understand the overall result. The second technique
is an extension of the first one, providing additional information by
assigning two dimensions to the axes. The thir d technique uses a grouping of
dimensions and is designed to support a focused search on smaller data sets.
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