[Document] Mining frequent itemsets based on MapReduce

Source: Internet
Author: User
Keywords Frequent nbsp;

A method of mining frequent itemsets based on MapReduce

Jongxiang, Li Lingjuan

In order to improve the classical Apriori algorithm of association rule Mining, a method of mining frequent itemsets based on Map/reduce is designed. By setting up the Hadoop platform, the method can be realized, and the performance of the method is compared with the Apriori algorithm. The experimental results show that this method can make full use of the advantages of cloud computing in the mining of frequent itemsets of large data sets, so as to obtain better timeliness.

Keywords: cloud computing; Hadoop apriori;mapreduce

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