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2012•Journal of Jiangsu Teachers University of TechnologyRequires access

Study on a Data Mining Algorithm Based on the Data Stream Frequent Itemsets

Xiaofeng Xue

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Abstract

Taking Apriori algorithm as an example,the paper introduces and analyzes the process of mining maximum frequent itemsets.And according to the characteristic of data streams,it studies data stream frequent mining problems,presenting a new EC algorithm method based on data stream mining frequent itemsets.

About this research paper

What this paper is about

Taking Apriori algorithm as an example,the paper introduces and analyzes the process of mining maximum frequent itemsets.And according to the characteristic of data streams,it studies data stream frequent mining problems,presenting a new EC algorithm method based on data stream mining frequent itemsets.

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Available abstract

Taking Apriori algorithm as an example,the paper introduces and analyzes the process of mining maximum frequent itemsets.And according to the characteristic of data streams,it studies data stream frequent mining problems,presenting a new EC algorithm method based on data stream mining frequent itemsets.

Key concepts: Data mining, Data stream mining, Data stream, Computer science, Apriori algorithm, GSP Algorithm, Process (computing), A priori and a posteriori

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