Association Rules is a popular and well researched method for discovering interesting relations between itemsets in large databases. We start from defining a few ways to measure association.

**Support**: The support, \(\text{supp}(X)\), measures how popular an*itemset*(\(X\)) is. It is calculated as the proportion of transactions in the data set which contain the itemset.- We use Table 1
^{1}below to show that the support of {apple} is 4 out of 8, or 50%. Itemsets can also contain multiple items. For instance, the support of {apple, beer, rice} is 2 out of 8, or 25%. The support of {apple, beer} is 3 out of 8.

- We use Table 1