eProPlan : a tool to model automatic generation of data mining workflows

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. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-44848 Originally published at: Kietz, J U; Serban, F; Bernstein, A (2010). eProPlan: a tool to model automatic generation of data mining workflows. In: 3rd Planning to Learn Workshop (WS9) at ECAI’10, Lisbon, Portugal, 16 August 2010 20 August 2010, 15-17. eProPlan: A Tool to Model Automatic Generation of Data