DATA MINING DRIVEN DECISION MAKING

Marina V. Sokolova, Antonio Fernández-Caballero

Abstract

This paper introduces the details of the design of an agent-based decision support system (ADSS) for environmental impact assessment upon human health. We discuss the structure and the data mining methods of the designed ADSS. The intelligent ADSS described here provides a platform for integration of related knowledge coming from external heterogeneous sources, and supports its transformation into an understandable set of models and analytical dependencies, with the global aim of assisting a manager with a set of decision support tools.

References

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Paper Citation


in Harvard Style

Sokolova M. and Fernández-Caballero A. (2009). DATA MINING DRIVEN DECISION MAKING . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 220-225. DOI: 10.5220/0001658302200225


in Bibtex Style

@conference{icaart09,
author={Marina V. Sokolova and Antonio Fernández-Caballero},
title={DATA MINING DRIVEN DECISION MAKING},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001658302200225},
isbn={978-989-8111-66-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - DATA MINING DRIVEN DECISION MAKING
SN - 978-989-8111-66-1
AU - Sokolova M.
AU - Fernández-Caballero A.
PY - 2009
SP - 220
EP - 225
DO - 10.5220/0001658302200225