Association Rules Mining of Traditional Chinese Medical Syndrome Differentiation Oriented

The paper expounds the association rules mining procedure on traditional Chinese medical syndrome differentiation (TCMSD), comes down to a method - a priori algorithm which creates the frequent item sets. In the process of creating the frequent item sets, the efficiency of execution becomes lower rapidly as dimensions increasing, so DFP-growth algorithm is provided on the FP-growth algorithm. DFP-growth has the same structure as FP-tree, and makes use of a top-down increment strategy to obtain the frequent item sets.