挖掘这种规则时，可以忽略支持度阈值，因此可同时得到频繁模式和非频繁模式。
When mining such rules, the support threshold can be ignored, so the frequent and infrequent patterns can be produced together.
在固定支持度阈值设置基础上，讨论了可变支持度设置的方法，并进行了比较分析。
At the basis of setting up the fixed threshold about support, discuss the methods of setting up the variable support and comparatively analyze them.
对支持度分布严重倾斜的数据集挖掘时，人们发现现有算法无法选择合适的支持度阈值。
However, we found it is hard to select the appropriate support threshold for datasets with high skewed support distribution by the current mining algorithms.
MDRBR算法采用单一的规则支持度阈值进行缺省规则的挖掘，这不利于有效地挖掘出用户感兴趣的缺省规则。
MDRBR algorithm USES uniform minimum support threshold for mining default decision rules, the method can not effectively mine the interesting default decision rules to users.
关联规则挖掘作为数据挖掘领域的一个重要研究分支，它的任务是发现所有满足支持度阈值和置信度阈值的强关联规则。
Association rule mining is an important sub-branch of the data mining, which mines interesting association relationships among a large set of data items.
分析表明：对于供热系统的温度、压力和流量，其热量消耗应满足最小支持度和最小置信度阈值。
The analysis shows that thermal consumption should reach value of minimum support and minimum confidence for pressure, and flow in management of heating.
分析表明：对于供热系统的温度、压力和流量，其热量消耗应满足最小支持度和最小置信度阈值。
The analysis shows that thermal consumption should reach value of minimum support and minimum confidence for pressure, and flow in management of heating.
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