Databases reduction simultaneously by ordered projection

Authors:
Isabel Nepomuceno;Juan A. Nepomuceno;Roberto Ruiz;Jesús S. Aguilar–Ruiz
Affiliations:
Department of Computer Science, University of Sevilla, Sevilla, Spain;Department of Computer Science, University of Sevilla, Sevilla, Spain;Department of Computer Science, University of Sevilla, Sevilla, Spain;Area of Computer Science, University Pablo de Olavide, Sevilla, Spain
Venue:
DS'06 Proceedings of the 9th international conference on Discovery Science
Year:
2006

Citing 1
Cited 0

A measure for data set editing by ordered projections

IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new algorithm Database Reduction Simultaneously by Ordered Projections (RESOP) is introduced. This algorithm reduces databases in two directions: editing examples and feature selection simultaneously. Ordered projections techniques have been used to design RESOP taking advantage of symmetrical ideas for two different task. Experimental results have been made with UCI Repository databases and the performance for the latter application of classification techniques has been satisfactory.