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 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。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
基于数据变换法，提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。
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