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based on both shared attributes (syntactic similarity) and shared coverage of
data (semantic similarity). Multi Dimensional Scaling is applied to these to vi-
sualize the rules in 2D, and clustering of similar rules becomes clearly visible.
5Conluon
The Haiku system for information visualization and explanation provides a useful
interface for interactive data mining. By interacting with a virtual data space
created dynamically from the data properties, greater insight can be gained than
by using standard machine learning based data mining. It allows users to explore
features visually, to direct the computer to generate explanations and to evaluate
the results of their exploration, again in the visual domain. This combination
of intuitive and knowledge driven exploration with the mechanical power of the
learning algorithms provides a much richer environment and can lead to a deeper
understanding of the domain.
Acknowledgements
This work was partially supported by grants from British Telecom, Integral
Solutions Ltd and British Maritime Technology. Thanks to Nick Drew and Bob
Hendley for their work on the visualization parts of the system, and to colleagues
for their comments and help.
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