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Authors: Marina V. Sokolova and Antonio Fernández-Caballero

Affiliation: Universidad de Castilla-La Mancha, Spain

Keyword(s): Multi agent systems, Data mining, Decision making.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Distributed Problem Solving ; Enterprise Information Systems ; Industrial Applications of AI ; Sensor Networks ; Signal Processing ; Soft Computing

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Sokolova, M. and Fernández-Caballero, A. (2009). DATA MINING DRIVEN DECISION MAKING. In Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART; ISBN 978-989-8111-66-1; ISSN 2184-433X, SciTePress, pages 220-225. DOI: 10.5220/0001658302200225

@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 - ICAART},
year={2009},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001658302200225},
isbn={978-989-8111-66-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART
TI - DATA MINING DRIVEN DECISION MAKING
SN - 978-989-8111-66-1
IS - 2184-433X
AU - Sokolova, M.
AU - Fernández-Caballero, A.
PY - 2009
SP - 220
EP - 225
DO - 10.5220/0001658302200225
PB - SciTePress