Combining instance selection methods based on data characterization: An approach to increase their effectiveness

@article{Caises2011CombiningIS,
  title={Combining instance selection methods based on data characterization: An approach to increase their effectiveness},
  author={Yoel Caises and A. Mu{\~n}oz and E. Leyva and Ra{\'u}l P{\'e}rez},
  journal={Inf. Sci.},
  year={2011},
  volume={181},
  pages={4780-4798}
}
  • Yoel Caises, A. Muñoz, +1 author Raúl Pérez
  • Published 2011
  • Computer Science
  • Inf. Sci.
  • Although there are several proposals in the instance selection field, none of them consistently outperforms the others over a wide range of domains. In recent years many authors have come to the conclusion that data must be characterized in order to apply the most suitable selection criterion in each case. In light of this hypothesis, herein we propose a set of measures to characterize databases. These measures were used in decision rules which, given their values for a database, select from… CONTINUE READING
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