Since items have different expected frequencies of sales, it is desirable to usegroup-based minimum support thresholds set up by users. For example, one may set up a small min support for the group of cameras but a rather large one for the group of bread. Outline an FP growth-like algorithm that derive the set of frequent items efficiently in a transaction database.
Suppose each item is associated with a group ID.