Dağ, HasanDağ, HasanSayın, Kamran EmreYenidoğan, IşılAlbayrak, Songül VarliAcar, Can2019-06-282019-06-282012169781467314466https://hdl.handle.net/20.500.12469/1468https://doi.org/10.1109/INISTA.2012.6247011Data mining application areas widen day by day. Among those areas medical area has been receiving quite a big attention. However working with very large data sets with many attributes is hard. Experts in this field use heavily advanced statistical analysis. The use of data mining techniques is fairly new. This paper compares three feature selection algorithms on medical data sets and comments on the importance of discretization of attributes. © 2012 IEEE.eninfo:eu-repo/semantics/openAccessCorrelation Based Feature Selection (CFS)Data miningDiscretizationFeature selection algorithmsGain ratioInformation gainConference Object10.1109/INISTA.2012.62470112-s2.0-84866605750N/AN/A