ScholarLens Back to search
2007•Expert Systems with ApplicationsRequires access

Approximate mining of maximal frequent itemsets in data streams with different window models

Hua-Fu Li, Suh-Yin Lee

Open publisher page 16 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 16 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.

Key concepts: STREAMS, Window (computing), Computer science, Data stream mining, Data mining, World Wide Web, Computer network

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Approximate mining of maximal frequent itemsets in data streams with different window models — Research Paper | ScholarLens