Method for Finding Frequent Set Based on Transaction Identifier Sequence

Character string comparing is an important method in computer information managing. To solve the localization question of current algorithms for mining association rule not to save and use historical mining harvest,a method is present that transaction database is translated item database,and supporting transaction identifier sequence is constructed. An algorithm for comparing double sequence strings and a method of finding bigger frequent item set based on string comparing are given in order to improve mining efficiency and decrease negative influence that string comparing' efficiency is lower.