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Authors: Laurent Brisson 1 and Martine Collard 2

Affiliations: 1 Institut TELECOM, TELECOM Bretagne, France ; 2 INRIA Sophia Antipolis; University of Nice Sophia Antipolis, France

Keyword(s): Data mining, Knowledge integration, Ontology Driven Information System.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Verification and Validation of Knowledge-Based Systems

Abstract: This paper deals with knowledge integration in a data mining process. We suggest to model domain knowledge during business understanding and data understanding steps in order to build an ontology driven information system (ODIS). We present the KEOPS Methodology based on this approach. In KEOPS, the ODIS is dedicated to data mining tasks. It allows using expert knowledge for efficient data selection, data preparation and model interpretation. In this paper, we detail each of these ontology driven steps and we define a part-way interestingness measure that integrates both objective and subjective criteria in order to evaluate model relevance according to expert knowledge.

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Paper citation in several formats:
Brisson, L. and Collard, M. (2008). AN ONTOLOGY DRIVEN DATA MINING PROCESS. In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS; ISBN 978-989-8111-37-1; ISSN 2184-4992, SciTePress, pages 54-61. DOI: 10.5220/0001697400540061

@conference{iceis08,
author={Laurent Brisson. and Martine Collard.},
title={AN ONTOLOGY DRIVEN DATA MINING PROCESS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS},
year={2008},
pages={54-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001697400540061},
isbn={978-989-8111-37-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS
TI - AN ONTOLOGY DRIVEN DATA MINING PROCESS
SN - 978-989-8111-37-1
IS - 2184-4992
AU - Brisson, L.
AU - Collard, M.
PY - 2008
SP - 54
EP - 61
DO - 10.5220/0001697400540061
PB - SciTePress

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