关联规则挖掘与频繁项集挖掘 [英] what is the difference between Association rule mining & frequent itemset mining

问题描述

我是数据挖掘的新手，对关联规则和频繁项挖掘感到困惑。对我来说，我认为两者是相同的，但是我需要这个论坛的专家意见

i am new to data mining and confuse about Association rules and frequent item mining. for me i think both are same but i need views from experts on this forum

我的问题是

是关联规则挖掘与频繁的项目集挖掘？
谢谢

what is the difference between Association rule mining & frequent itemset mining? Thanks

推荐答案

关联规则类似于 A，B→ C，表示C倾向于当A和B发生时发生。一个项目集只是一个集合，例如 A，B，C，如果它的项目倾向于同时出现，那么这是很常见的。 查找关联规则的常用方法是找到所有常见项目集，然后将它们后处理为规则。

An association rule is something like "A,B → C", meaning that C tends to occur when A and B occur. An itemset is just a collection such as "A,B,C", and it is frequent if its items tend to co-occur. The usual way to look for association rules is to find all frequent itemsets and then postprocess them into rules.

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