Improvement and implementation of association rules mining based on recognizable matrix

Apriori algorithm is the most important algorithm in the field of data mining based on association rules.Aimed at the problems in the Apriori algorithm such as the efficiency of the frequent item-set mining and the reasonableness of the association rule generation,the related definitions and their use were modified and applied.Apriori algorithm was improved and applied in a simulation system of teaching evaluation.The simulation result showed that the improved algorithm would be able to mine the association rules effectively and reasonably,and provide support to course arrangement and teaching work.