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.
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.
本文的主要工作和结论如下：（1）对于分布式关联规则挖掘问题，目前的主要算法是CD算法和FDM算法。
The dissertation brings about conclusions below:(1) The FDM and CD are main stream algorithms for mining association rules in distributed databases.
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，该文基于CURE的工作原理，提出了D -CURE算法。
The key problem in distributed association rules mining is to cluster partition in distributed environment. This paper presents an algorithm called D-CURE which is based on the principle of CURE.
提出了在分布式环境下对于每一层使用不同支持度的多层关联规则挖掘问题及其算法DMARM。
This paper presents a multi-level association rules mining algorithm DMARM which can be used in distributed environments. It can apply different thresholds at different levels.
数据隐私问题引起人们的广泛关注，如何在分布式数据库的环境下挖掘关联规则成为研究的热点。
With the growing concern over data privacy-preserving problem, how to discover association rules from distributed databases becomes one of the hot topics of this field.
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.
在分布式环境中挖掘约束性关联规则是当前研究的热点问题之一。
This paper presents a new algorithm for distributed mining association rules with item constraints called DAMICFP, which is based on a new type algorithm for association rule mining, FP-growth.
在分布式环境中挖掘约束性关联规则是当前研究的热点问题之一。
This paper presents a new algorithm for distributed mining association rules with item constraints called DAMICFP, which is based on a new type algorithm for association rule mining, FP-growth.
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