如何在Apriori算法中找到最小支持 [英] How to find the minimum support in Apriori algorithm

问题描述

当给出支持和置信度的百分比值时，如何在Apriori算法中找到最小支持。例如，当给定的支持和信心分别为60％和60％时，最低支持是多少？

When the percentage values of support and confidence is given how can I find the minimum support in Apriori algorithm. For an example when support and confidence is given as 60% and 60% respectively what is the minimum support?

推荐答案

置信度是衡量规则有趣程度的度量。

The support and confidence are measures to measure how interesting a rule is.

最小支持和最小置信度由用户设置，并且是关联规则生成的Apriori算法的参数。这些参数用于排除结果中支持或置信度分别低于最小支持和最小置信度的规则。

The minimum support and minimum confidence are set by the users, and are parameters of the Apriori algorithm for association rule generation. These parameters are used to exclude rules in the result that have a support or a confidence lower than the minimum support and minimum confidence respectively.

因此，当您回答问题时，说：例如，当支持和信心分别为60％和60％时，最低支持是多少？您可能是说您已将最低支持度和置信度设置为60％。

So to answer your question, when you say that: "For an example when support and confidence is given as 60% and 60% respectively what is the minimum support?" you probably mean that you have set the minimum support and confidence to 60 %.

我认为您只是对条款感到困惑。

I think that you are just confused by the terms.

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