2010Jisuanji yingyong yanjiuRequires access

Novel algorithm for discretization of continuous attributes based on rough sets theory

Hui Li, Deqin Yan, Li Han

Open publisher page 2 citations

Abstract

The rough set required that discretization should be maintained indiscernibility of the original decision-making system,however,many algorithms before permitted approximate quality descended controlled certain scope.This paper proposed a novel method of splitting interval.The novel algorithm was more reasonable and effective to discretization of continual attribute,and assured not to change decision-making attributes.By using C4.5 and SVM,performed the experiments respectively with the results of discreted data.The experiment results show that the presented algorithm is effective.

About this research paper

What this paper is about

The rough set required that discretization should be maintained indiscernibility of the original decision-making system,however,many algorithms before permitted approximate quality descended controlled certain scope.This paper proposed a novel method of splitting interval.The novel algorithm was more reasonable and effective to discretization of continual attribute,and assured not to change decision-making attributes.By using C4.5 and SVM,performed the experiments respectively with the results of discreted data.The experiment results show that the presented algorithm is effective.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The rough set required that discretization should be maintained indiscernibility of the original decision-making system,however,many algorithms before permitted approximate quality descended controlled certain scope.This paper proposed a novel method of splitting interval.The novel algorithm was more reasonable and effective to discretization of continual attribute,and assured not to change decision-making attributes.By using C4.5 and SVM,performed the experiments respectively with the results of discreted data.The experiment results show that the presented algorithm is effective.

Key concepts: Discretization, Rough set, Computer science, Scope (computer science), Discretization of continuous features, Interval (graph theory), Algorithm, Quality (philosophy)

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