The Effect of FP-Growth Algorithm Based on FP-tree Frequent Set Patterns on Association Rule Mining
Nan Lu · 2003
An anatomy of two representative arithmetics of the Apriori and the FP Growth explains the mining process of frequent patterns item set. The improved method is put forward by comparing the arithmetic characteristics of candidate item set and non candidate item set. The constructing method of FP tree structure is provided and how it affects association rule mining is discussed.