present study is to incorporate the idea of fuzzy discretization into interval creation and examine the effect of positional …

discretization technique, called Class Distribution Curve based Binning (CDC Binning); the main idea is to use a so-called class …

data can be preprocessed using a discretization method called the Optimal Equal Width Binning and an over … model improves significantly when the discretization and over-sampling methods are applied. …

approximations which often fail adequately to capture the nonlinear features of interest. I develop a new method, the discretization …, I show that the discretization filter is orders of magnitude faster than alternative nonlinear techniques for the same …

statements on the Stock Exchange of Thailand using discretization of the financial ratios and frequent pattern growth (FP …

The use of discretization in decision analysis allows practitioners to use only a few assessments to estimate the … uncertainty. The discretization shortcuts are fast, but are created with a specific distribution, or families of distributions in … mind. The discretizations are not formulated with the decision problem in mind. Each discretization is specific to one …

data can be preprocessed using a discretization method called the Optimal Equal Width Binning and an over … model improves significantly when the discretization and over-sampling methods are applied. …