2005•Unpublished venueRequires access

Research on discovery algorithm of association rules in Web mining

Zhou Li

Open publisher page 0 citations

Abstract

This paper uses a rapid algorithm(Apriori algorithm) to bring association rules discovery into web mining,and to improve characteristics of web application,which effectively produces the frequent item set.

About this research paper

What this paper is about

This paper uses a rapid algorithm(Apriori algorithm) to bring association rules discovery into web mining,and to improve characteristics of web application,which effectively produces the frequent item set.

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

This paper uses a rapid algorithm(Apriori algorithm) to bring association rules discovery into web mining,and to improve characteristics of web application,which effectively produces the frequent item set.

Key concepts: Association rule learning, Data mining, Computer science, K-optimal pattern discovery, Association (psychology), Web mining, Data science, Information retrieval

Related papers

Back to paper searchBrowse research topicsOriginal source
Research on discovery algorithm of association rules in Web mining — Research Paper | ScholarLens