在分布式关联规则挖掘中，首先需要解决分布式环境下的聚类分区问题。

The key problem in distributed association rules mining is to cluster partition in distributed environment.

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论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。

This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.

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为了提高对隐私数据的保护程度和挖掘结果的准确性，提出一种有效的隐私保护分布式关联规则挖掘算法。

In order to raise the level of protection of data privacy and accuracy of the outcome of the excavation, an effective protection of the privacy of distributed algorithms Mining Association Rules Act.

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