Design of a Decision Support System for Classification of Natural Risk in Maritime Construction Based on Temporal Windows

Authors:
Marco Antonio Tamargo;Alfredo S. García;Andrés Alonso Quintanilla;Amelia Bilbao Terol;Víctor Castro Amigo
Affiliations:
Department of Information Technology, University of Oviedo, Gijón, Spain 33204;Department of Information Technology, University of Oviedo, Gijón, Spain 33204;Fomento de Construcciones y Contratas, (FCC), Oviedo, Spain;Department of Information Technology, University of Oviedo, Gijón, Spain 33204;Department of Information Technology, University of Oviedo, Gijón, Spain 33204
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

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Abstract

The objective of this paper is to present an improvement of a decision-making support system based in inductive learning, applied to risk prevention in maritime works. The improvement shown here is based on the redefinition of training examples structured as temporal windows over certain attribute values.