This paper introduces the principle and efficiency of the Apriori algorithm which is the classical algorithm of association rules mining,and proposes an improved Apriori algorithm――En-Apriori algorithm which is aimed at the disadvantage of Apriori algorithm.

Typical operation sequence capture based on Apriori algorithm;

Application of Apriori algorithm to selection of Chinese fir′s associated tree species;

Application of Apriori algorithm in government ontology construction;

Efficiently improved Apriori algorithm based on data warehouse and job;

Review of the optimization and analysis of Apriori algorithm;

In order to obtain the connotative value of mass data in the actual Enterprise Resource Planning(ERP) system,adopting association rules mining method,the integrity process of constructing products sale data mart and mining rules by Apriori algorithm is given.

The presented algorithm is in fact supplements the algorithm similar to the Apriori.

To solve the problem on algorithm New-Apriori,a new algorithm called MWFS algorithm for mining weighted frequent itemsets was proposed.

The Discourse and Application about Association and Apriori Arithmetic;

The improved association rules Apriori arithmetic is given in this paper,which can enhance the capability of auxiliary analysis after fault.

The article expounds the result of analyzing inner associated relation of course knowledge points based on Apriori arithmetic.