关联分析apriori算法的相关内容

文章 2023-09-19 来自：开发者社区

机器学习关联分析PF和Apriori算法

1 什么是关联分析此篇为了解篇幅,不做具体的算法实例,就是知道简单有这么回事,什么情况会用到的分析.关联分析又称关联挖掘，就是在交易数据、关系数据或其他信息载体中，查找存在于项目集合或对象集合之间的频繁模式、关联、相关性或因果结构。或者说，关联分析是发现交易数据库中不同商品（项）之间的联系。简单的说:就是经常举例到的啤酒和尿片,大数据经典案例买啤酒的人大部分会买尿片,所以放一起会卖的更好,我感觉....

文章 2022-04-10 来自：开发者社区

关联分析——Apriori算法

1 相关概念2 常用衡量指标2.1支持度（Support）：支持度计数除于总的事务数，表示该规则在全部交易记录中出现的比率。• 该指标是建立强关联规则的第一个门槛，衡量了所考察关联规则在“量”上的多少。• 关联规则相对于全部数据必须具有一定的普遍性（即具显著性），才是有效的信息。• 支持度（SUPPORT）的一个关键性质：一个项集的支持度不会超过它的子集的支持度。项集{A,B,C}：{A,B}是....

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更新时间 2023-09-25 09:58:25

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