自我实现的一个Apriori算法，用于小规模固定数据，实现从数据源中提取频繁项集和产生关联规则-A self-fulfilling Apriori algorithm for small-scale fixed data, frequent itemsets extracted from the data source and associated rules

数据挖掘算法 挖掘数据之间的关联性，实现事件发生的预测 核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集-Data mining association between the data mining algorithms to achieve predicted core idea of ​ ​ the event is to dig down through the closed frequent item sets of two-stage detec