FISM Procedure

The FISM procedure performs frequent item set mining, which looks for frequent patterns in a large database. The FISM procedure finds frequent patterns by using the FP-growth (frequent-pattern growth) algorithm of Han, Pei, and Yin (2000). The FP-growth algorithm uses a special data structure called the frequent-pattern tree (FP-tree), which retains the item set association information. For more information about the FP-growth algorithm, see the section FP-Growth Algorithm.

The FISM procedure is used by other procedures such as the MBANALYSIS procedure for association rule mining.