The MBANALYSIS Procedure

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

processes data in a single thread as well as in multiple threads on a single node or on multiple nodes

supports hierarchical transactional data as input

uses the FP-growth algorithm for frequent item set mining

supports various measures of interestingness to find useful rules

supports the SAVESTATE statement for scoring by the ASTORE procedure