ScholarLens Back to search
2010•Computer engineering & SoftwareRequires access

Improved Transaction List Group Based Frequent Itemsets Mining Algorithm Based Frequent Itemsets Mining Algorithm On Data Streams

Xueli Zhang

Open publisher page 0 citations

Abstract

According to the characteristics of mass and time-varying for data,a improved transaction list group based frequent itemsets mining algorithm T-Stream upon data streams is proposed.The algorithm could self-adaptively adjust the size of time windows.In the algorithm,transaction list group is adopted as synopsis data structure.The experiments indicate that the T-Stream algorithm is more effective than the Manku algorithm in term of temporal and spatial performance.

About this research paper

What this paper is about

According to the characteristics of mass and time-varying for data,a improved transaction list group based frequent itemsets mining algorithm T-Stream upon data streams is proposed.The algorithm could self-adaptively adjust the size of time windows.In the algorithm,transaction list group is adopted as synopsis data structure.The experiments indicate that the T-Stream algorithm is more effective than the Manku algorithm in term of temporal and spatial performance.

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

According to the characteristics of mass and time-varying for data,a improved transaction list group based frequent itemsets mining algorithm T-Stream upon data streams is proposed.The algorithm could self-adaptively adjust the size of time windows.In the algorithm,transaction list group is adopted as synopsis data structure.The experiments indicate that the T-Stream algorithm is more effective than the Manku algorithm in term of temporal and spatial performance.

Key concepts: Computer science, Database transaction, Data mining, Data stream mining, Algorithm, GSP Algorithm, Data stream, Transaction data

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Improved Transaction List Group Based Frequent Itemsets Mining Algorithm Based Frequent Itemsets Mining Algorithm On Data Streams — Research Paper | ScholarLens