利润约束的关联规则挖掘算法

Association Rules Mining Algorithm for Profit Constraint

针对传统数据挖掘技术的劣势,提出一种以利润为基础的约束关联规则挖掘算法.在使用关联规则进行数据挖掘之前,算法按照商品利润的权重信息对购物篮中的原始商品交易信息实施预处理,可以使后续的数据关联规则挖掘更加的精确可靠,提升数据挖掘的效果.结果表明:基于利润的约束关联规则挖掘算法对数据库的原始数据实施了利润约束修正,增加了利润加权阈值,可有效提升数据挖掘算法的知识挖掘性能.

Aiming at the disadvantage of the traditional data mining technology,a kind of constraint association rule mining technology based on profit is proposed.Before using association rules to carry out data mining,the information of the original commodity trading in the shopping basket is pre processing using the algorithm based on the weight of the goods,which can make the subsequent data association rules mining more accurate and reliable,and improve the effect of data mining.The results show that：the association rules mining algorithm based on profit constraint,the original data of the database is implemented with profit constraint correction,and the profit margin is added,which can effectively improve the performance of data mining algorithm.