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eProPlan: A Tool to Model Automatic Generation of Data Mini...
eProPlan: A Tool to Model Automatic Generation of Data Mining Workflows
Publication type:
inproceedings
Authors:
Abraham Bernstein
,
Jörg-Uwe Kietz
,
Floarea Serban
Abstract:
This paper introduces the first ontological modeling environment for planning Knowledge Discovery (KDD) workflows. We use ontological reasoning combined with AI planning techniques to automatically generate workflows for solving Data Mining (DM) problems. The KDD researchers can easily model not only their DM and preprocessing operators but also their DM tasks, that are used to guide the workflow generation.
Title:
eProPlan: A Tool to Model Automatic Generation of Data Mining Workflows
Year:
2010
month:
August
booktitle:
Proc. of the 3rd Planning to Learn Workshop (WS9) at ECAI'10
pages:
15-17
group:
ddis
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