Databases Reference
In-Depth Information
Data mining methods normally handle complex data. Since visual data mining systems in-
tegrate data mining techniques and visualization techniques, visualization techniques have to seek
effective visual mappings in order to represent the complex relationships in data.
Most of the existing visual data mining systems have not been subjected to thorough usability
tests. In order to determine the usefulness of visual data mining systems, the importance of usability
studies cannot be overemphasized. On the same note, it is worth acknowledging that the lack of
precise theory or a universal/standard framework for developing visual data mining systems may not
only be partly responsible for the current situation whereby each visual data mining system seems
to be an ad-hoc development but may also, to some extent at least, complicate the usability issue as
far as the visual data mining field is concerned.
It is a challenging activity to find the methods, techniques, and corresponding tools that are
suitable for a specific visual mining task or a particular type of data. One way forward would be to
evaluate the disparate frameworks to determine their effectiveness and to verify their applicability
in different application domains (
Simoff, S.
,
2001
).
