This paper extended the existing definition of discretization based on cut-splitting and gave the definition of generalized discretization using class- ...
Abstract. Existing discretization methods cannot process continuous interval- valued attributes in rough set theory. This paper extended the existing ...
Jul 5, 2015 · This paper extended the existing definition of discretization based on cut-splitting and gave the definition of generalized discretization using ...
Discretization of continuous attributes is, therefore, an important task in data mining, particularly for the classification problem. Although rough set theory ...
Discretization method of continuous attributes based on decision attributes · A novel approach for discretization of continuous attributes in rough set theory.
Discretization based on rough set has some particular characteristics, and consistency must be satisfied for discretization of decision systems. Existing ...
An approach is proposed to discretize continuous interval-valued attributes in rough set theory. The approach is characterized by emphasizing ...
A new approach is proposed to discretize continuous interval-valued attributes in rough set theory, which enhances the precision of classification and ...
In the application of the Rough Set theory to preprocess the data, continuous attribute discretization is the necessary and key step.
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The discretization of continuous attributes in a dataset is an essential step before the Rough-Set-Theory (RST)-based classification process is applied.