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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.
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