华侨大学学报（自然科学版）Issue(5)：522-526,5.DOI:10.11830/ISSN.1000-5013.2015.05.0522
利润约束的关联规则挖掘算法
Association Rules Mining Algorithm for Profit Constraint
摘要
Abstract
Aiming at the disadvantage of the traditional data mining technology,a kind of constraint association rule min-ing 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.关键词
关联规则挖掘算法/购物篮分析/利润约束/Apriori 算法/超市Key words
association rule mining algorithm/market basket analysis/constraint profit/Apriori algorithm分类
信息技术与安全科学引用本文复制引用
朱龙..利润约束的关联规则挖掘算法[J].华侨大学学报（自然科学版）,2015,(5):522-526,5.基金项目
国家社科基金重大项目 （）
