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