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


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.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:20 August 2010
Deposited On:24 Feb 2011 15:37
Last Modified:07 Dec 2017 07:03
Other Identification Number:1425

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