Apriori算法的改进

介绍数据挖掘中关联规则的情况.在分析关联规则挖掘算法的基础上,对经典Apriori算法进行改进,改进算法意在通过减少生成候选频繁项集的数量和扫描数据库次数.从而,加快算法的执行效率和节省空间.

Improvement for the Apriori Algorithm

Data mining is the process of discovering hidden structure or patterns in large quantities of data by using kinds of analytic tools. The paper provides a survey of the study in association rule generation. On the basis of mining association rules theory, improved algorithm aims to accelerate its executing efficiency and save space via reducing the quantity of candidate frequent item sets as well as the frequency of saving database.