Mining Frequent Patterns, Associations and Correlations
Association Analysis
Correlation Analysis
Causality Analysis
Structural Patterns → Subgraph
Classification → discriminative
Concepts of Frequent Itemsets
You can use an Itemset and its corresponding Support and Confidence to find Association Rules.
Every rule has a Support Confidence tuple.
There are too many possible Itemsets for a Dataset thus you can reduce them with closed and max-itemsets.
Scalable Frequent Itemset Mining Methods
The Downward-Closure Property is a tool used in the A priori - Frequent Item Approach.
The Frequent Pattern Growth approach works differenty.
Vertical Data Format
ECLAT
Closed Itemsets with vertical format → CHARM
MaxMiner
Others
AFOPT
Carpenter
FPgrowth+
TD-Close