FISM Procedure

PROC FISM Features

The FISM procedure has the following features:

  • reads input data in parallel when the data source is on a distributed system

  • supports the FP-growth algorithm, which is currently one of the fastest approaches to frequent item set mining

  • supports parallel implementation of the FP-growth algorithm in a distributed environment for faster performance

  • stores large databases in compact FP-tree format, which uses memory efficiently

Last updated: August 06, 2026