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 Antonio Gonz{\'a}lez Mu{\~n}oz and Enrique Leyva and Ra{\'u}l P{\'e}rez},
  journal={Inf. Sci.},
  year={2011},
  volume={181},
  pages={4780-4798}
}
0020-0255/$ see front matter 2011 Elsevier Inc doi:10.1016/j.ins.2011.06.013 q This work was partially supported by the projec ⇑ Corresponding author. Tel.: +34 958 244019; fa E-mail addresses: ycaises@facinf.uho.edu.cu (Y. decsai.ugr.es (R. Pérez). 1 Tel.: +53 24 482672; fax: +53 24 468050. 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… CONTINUE READING
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