A CLUSTER FRAMEWORK FOR DATA MINING MODELS - An Application to Intensive Medicine

Manuel Santos, João Pereira, Álvaro Silva

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 Harvard Style

Santos M., Pereira J. and Silva Á. (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


in Bibtex Style

@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},
}


in EndNote Style

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