提出了一种新的量化关联规则挖掘算法QAR及其增量式更新算法IUQAR。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
传统的关联规则是形如a B反映正项目之间关联关系的蕴涵式，它无法反映出数据之间隐藏的负关联关系。
The traditional association rule is an expression as a Bwhich reflects the relation among positive items. But which can't reflect the negative association hidden in data.
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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