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Authors: Manuel Santos 1 ; João Pereira 2 and Álvaro Silva 3

Affiliations: 1 Universidade do Minho, Portugal ; 2 Escola Superior de Educação de Viana do Castelo, Portugal ; 3 Serviço de Cuidados Intensivos, Hospital Geral de Santo António, Portugal

ISBN: 972-8865-19-8

Keyword(s): Clinical Data Mining, Clustering, Knowledge Discovery from Databases, Artificial Neural Networks, Organ Failure, Mortality Predicting Models, Intermediate Outcomes, Intensive Medicine.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; 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

Abstract: Clustering is a technique widely applied in Data Mining problems due to the granularity, accuracy and adjustment of the models induced. Although the referred results, this approach generates a considerable large set of models, which difficult the comprehension, the visualization and the application to new cases. This paper presents a framework to deal with the enounced problem supported by a three-dimensional matrix structure. The usability and benefits of this instrument are demonstrated trough a case study in the area of intensive medicine.

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Paper citation in several formats:
Santos M.; Pereira J.; Silva Á. and (2005). A CLUSTER FRAMEWORK FOR DATA MINING MODELS - An Application to Intensive Medicine.In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 163-168. DOI: 10.5220/0002523601630168

@conference{iceis05,
author={Manuel Santos and João Pereira and Álvaro Silva},
title={A CLUSTER FRAMEWORK FOR DATA MINING MODELS - An Application to Intensive Medicine},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={163-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002523601630168},
isbn={972-8865-19-8},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A CLUSTER FRAMEWORK FOR DATA MINING MODELS - An Application to Intensive Medicine
SN - 972-8865-19-8
AU - Santos, M.
AU - Pereira, J.
AU - Silva, Á.
PY - 2005
SP - 163
EP - 168
DO - 10.5220/0002523601630168

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