An association rule simply states that there exists a statistical
relationship between two or more items in a data set.
An item is a literal or attribute value pair occurring in the data set. This
relationship is generally shown in the form X
Y where X and Y are sets of items.
The statistic measures commonly used with association rules are
confidence and support. Support is the percentage of the data
instances containing both X and Y. Confidence is the
percentage of instances containing X that also contain Y.