本文总结了数据挖掘中关联规则的相关主题，包括Apriori算法寻找频繁项集、基于最小置信度生成规则、深度优先搜索、FP-树表示频繁项集及紧凑表示等。特别介绍了最大频繁项集与闭合频繁项集的计算方法。
After learning association rule in data mining recently, I want to summarize the several topics in this topic.
1. Apriori ->find frequent itemset with min_support
2. Rule Generation->with min_confidence
3. Depth First Search
4. FP-Tree->represent frequent itemsets
5. Compact Represent of frequent itemsets
1). Maximal Frequent Itemsets -> Dualize and Advance Algorithm
2). Closed Frequent Itemsets ->
a). Computing Closed Frequent Itemset with DF-Search
b). Generates Frequent Itemsets with support from closed itemsets without database access
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