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KEEL-dataset - Experimental studies with Classification data sets

This section shows some relevant research papers in which some of the classification data sets avalaible in KEEL-dataset have been employed.

For each study, we provide its reference (plain text and BibTeX formats), abstract and summary. A pdf version the article can also be downloaded. Additionally, we offer complementary material about the experimental studies carried up: Algorithms tested, data sets employed and results obtained (XLS and CVS formats).


Jump to year: 2010 (2)

Year 2010 (2):

dataset/studies/classification/fernandez-IEEETEC10.gifA. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, F. Herrera, Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation, Doi: 10.1109/TEVC.2009.2039140, In press (2010).images/repository/pdf.pngimages/repository/bib.png

dataset/studies/classification/derrac-PR10.gifJ. Derrac, S. García, F. Herrera, IFS-CoCo: Instance and Feature Selection based on Cooperative Coevolution with Nearest Neighbor Rule. Pattern Recognition 43:6 (2010) 2082-2105. doi: 10.1016/j.patcog.2009.12.012 .images/repository/pdf.pngimages/repository/bib.png



 
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