Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...
Abstract: This paper investigates four discretization schemes-EAFE, FVSG, CVFEM-SG, and EFTFE-for solving the quantum drift-diffusion (QDD) model formulated using quasi-Fermi levels. A series of ...
Learn how to discretize data in a mining model, which involves putting values into buckets so that there are a limited number of possible states. In these cases, you can discretize the data in the ...
Supervised discretization is one of basic data preprocessing techniques used in data mining. CAIM (class-attribute interdependence maximization) is a discretization algorithm of data for which the ...
Two methods of discretization of the s-wave n-p breakup continuum are compared, and their effect on the elastic deuteron-nucleus scattering matrix elements is numerically investigated. In one of the ...
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