ScholarLens Back to search
2010•Unpublished venueRequires access

New Algorithm for Discretization Based on Information Entropy

Yan De

Open publisher page 2 citations

Abstract

The discretization of continues attributes is always with great contribution to the followed process of machine learning or data mining.A new algorithm based on information entropy for discretization of decision table was proposed.Through inconsistency checking of decision table,we deleted some redundant cut points on the basis of preliminary discretization scheme.The experiments of classification of discreted data were performed by using SVM,and meanwhile compared with other algorithms,the presented algorithm is effective.

About this research paper

What this paper is about

The discretization of continues attributes is always with great contribution to the followed process of machine learning or data mining.A new algorithm based on information entropy for discretization of decision table was proposed.Through inconsistency checking of decision table,we deleted some redundant cut points on the basis of preliminary discretization scheme.The experiments of classification of discreted data were performed by using SVM,and meanwhile compared with other algorithms,the presented algorithm is effective.

Why it matters

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

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The discretization of continues attributes is always with great contribution to the followed process of machine learning or data mining.A new algorithm based on information entropy for discretization of decision table was proposed.Through inconsistency checking of decision table,we deleted some redundant cut points on the basis of preliminary discretization scheme.The experiments of classification of discreted data were performed by using SVM,and meanwhile compared with other algorithms,the presented algorithm is effective.

Key concepts: Discretization, Computer science, Discretization of continuous features, Entropy (arrow of time), Algorithm, Support vector machine, Decision table, Scheme (mathematics)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
New Algorithm for Discretization Based on Information Entropy — Research Paper | ScholarLens