Data Mining Association Rules algorithm 说明数据挖掘中的关联规则发现算法
This paper firstly presents a power set-based association rules mining algorithm which uses pow er set as an association rules mining tool.
首次提出了利用幂集作为挖掘关联规则的工具，给出了基于幂集的关联规则挖掘算法。
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Non-redundant association rules mining algorithm is proposed to deal with the problem of huge rules' number and redundancy.
针对关联规则数量巨大并且存在极大冗余的问题，提出无冗余告警关联规则产生算法。
This algorithm first produces frequent items using previous common association rules mining algorithm, then produces weighted frequent items from the previous frequent items.
该算法首先利用普通的关联规则算法产生频繁集，然后在该频繁集的基础上产生加权频繁集。
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.
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。
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