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ISAMI
2010

GRASP for Instance Selection in Medical Data Sets

8 years 2 months ago
GRASP for Instance Selection in Medical Data Sets
Abstract Medical data sets consist of a huge amount of data organized in instances, where each one contains several attributes. The quality of the models obtained from a database strongly depends on the information previously stored on it. For this reason, these data sets must be preprocessed in order to have fairly information about patients. Data sets are preprocessed reducing the amount of data. For this task, we propose a GRASP algorithm with two different improvement strategies based on Tabu Search and Variable Neighborhood Search. Our procedure is able to widely reduce the original data keeping the most relevant information. Experimental results show how our GRASP is able to outperform the state of the art methods.
Alfonso Fernández, Abraham Duarte, Rosa Her
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where ISAMI
Authors Alfonso Fernández, Abraham Duarte, Rosa Hernández, Ángel Sánchez
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