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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

 

 

 

 

 
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