DATABASES REDUCTION

Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz

2004

Abstract

Progress in digital data acquisition and storage technology has resulted in the growth of huge databases. Nevertheless, these techniques often have high computational cost. Then, it is advisable to apply a preprocessing phase to reduce the time complexity. These preprocessing techniques are fundamentally oriented to either of the next goals: horizontal reduction of the databases or feature selection; and vertical reduction or editing. In this paper we present a new proposal to reduce databases applying sequentially vertical and horizontal reduction technics. They are based in our original works, and they use a projection concept as a method to choose examples and representative features. Results are very satisfactory, because the reduced database offers the same intrinsic performance for the later application of classification techniques with low computational resources.

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Paper Citation


in Harvard Style

Ruiz R., C. Riquelme J. and S. Aguilar-Ruiz J. (2004). DATABASES REDUCTION . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 98-103. DOI: 10.5220/0002632300980103


in Bibtex Style

@conference{iceis04,
author={Roberto Ruiz and José C. Riquelme and Jesús S. Aguilar-Ruiz},
title={DATABASES REDUCTION},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={98-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002632300980103},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - DATABASES REDUCTION
SN - 972-8865-00-7
AU - Ruiz R.
AU - C. Riquelme J.
AU - S. Aguilar-Ruiz J.
PY - 2004
SP - 98
EP - 103
DO - 10.5220/0002632300980103