ScholarLens Back to search
2009•Journal of Liaoning Normal UniversityRequires access

A method for fast seeking of attribute reduction of formal concept lattices

Zhang En-sheng

Open publisher page 0 citations

Abstract

Formal concept analysis is a powerful tool for data analysis in machine learning,data mining,knowledge discovery and information retrieval.By study of the attribute reduction of concept lattices,the judgment theorems of core attribute,absolute unnecessary attribute and relative necessary attribute are proposed,on this base,a method for fast seeking of attribute reduction of formal concept lattices is given.

About this research paper

What this paper is about

Formal concept analysis is a powerful tool for data analysis in machine learning,data mining,knowledge discovery and information retrieval.By study of the attribute reduction of concept lattices,the judgment theorems of core attribute,absolute unnecessary attribute and relative necessary attribute are proposed,on this base,a method for fast seeking of attribute reduction of formal concept lattices is given.

Why it matters

A significance statement is not available in the OpenAlex record.

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

Formal concept analysis is a powerful tool for data analysis in machine learning,data mining,knowledge discovery and information retrieval.By study of the attribute reduction of concept lattices,the judgment theorems of core attribute,absolute unnecessary attribute and relative necessary attribute are proposed,on this base,a method for fast seeking of attribute reduction of formal concept lattices is given.

Key concepts: Formal concept analysis, Attribute domain, Lattice Miner, Computer science, Reduction (mathematics), Core (optical fiber), Knowledge extraction, Data mining

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
A method for fast seeking of attribute reduction of formal concept lattices — Research Paper | ScholarLens