ScholarLens Back to search
2004•Microcomputer DevelopmentRequires access

Rule Mining Based on Rough Set

Jiarong Liang

Open publisher page 1 citations

Abstract

The volume of data being generated nowadays is increasingly large.How to extract useful information from such data collections is an important issue.A promising technique is the Rough Set theory,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features.In this paper,basic theory of rough set is presented,followed by a new heuristic approach for rule induction,and the procedure of rule mining is illuminated using an example.It is simple for rule mining based on rough set by the example.

About this research paper

What this paper is about

The volume of data being generated nowadays is increasingly large.How to extract useful information from such data collections is an important issue.A promising technique is the Rough Set theory,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features.In this paper,basic theory of rough set is presented,followed by a new heuristic approach for rule induction,and the procedure of rule mining is illuminated using an example.It is simple for rule mining based on rough set by the example.

Why it matters

OpenAlex reports 1 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 volume of data being generated nowadays is increasingly large.How to extract useful information from such data collections is an important issue.A promising technique is the Rough Set theory,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features.In this paper,basic theory of rough set is presented,followed by a new heuristic approach for rule induction,and the procedure of rule mining is illuminated using an example.It is simple for rule mining based on rough set by the example.

Key concepts: Rough set, Computer science, Rule induction, Data mining, Heuristic, Set (abstract data type), Similarity (geometry), Simple (philosophy)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Rule Mining Based on Rough Set — Research Paper | ScholarLens