Rudi Studer
University of Karlsruhe, Institute AIFB
http://www.aifb.uni-karlsruhe.de/Staff/studer.engl.html
"Supporting the Development of KDD Applications"
3/20/1997: [time not recorded]
[location not recorded]
Abstract: Developing a KDD solution to a given application problem is a complex
process. On the one hand, an initial problem description is typically only
vaguely defined. Therefore, there is a strong need to support the
refinement of a problem description in a systematic way. For that purpose
we propose to use the notion of task decomposition as known from Knowledge
Engineering as well as the notion of pre-/postconditions to characterize
the functionality of a task. On the other hand, for solving the identified
subtasks one has to associate appropriate techniques, e.g. clustering or
classification algorithms, with them. In order to support this
selection process we propose to characterize the functionality of the
available techniques in a corresponding way. Finally, we think that reusing
successfully applied KDD solutions will provide means for developing new
high quality KDD solutions with less effort.
Last updated: Mon Jun 19 17:44:06 2006
 |