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A New Better-Fit Decision Features Selection Method for C5.0 Decision Tree
2017
DEStech Transactions on Computer Science and Engineering
Keywords: C5.0 decision tree, Better-fit decision features selection (BFDFS), Rubber woods classification from high resolution remote sensing image. Abstract. C5.0 decision tree method has a disadvantage that it's difficult to select better-fit decision features, so a better-fit decision features selection (abbreviated as BFDFS) methods are proposed in this paper. The procedure of BFDFS is as follows: (1) all decision features are pre-processed and then integrated into one image file; (2)
doi:10.12783/dtcse/aita2016/7552
fatcat:5vxj656yezhuphvatyuuika7o4