中国计量大学学报2017，Vol.28Issue(1)：108-112,5.DOI:10.3969/j.issn.2096-2835.2017.01.019
一种基于多值属性的改进Apriori算法
An improved Apriori algorithm based on multi-valued attributes
赵龙 1杨小兵 1吴强 1高宇1
作者信息
- 1. 中国计量大学信息工程学院,浙江杭州310018
- 折叠
摘要
Abstract
As data mining becomes more and more complex,multi-dimensional association rules become one of the most useful in association rules mining.In this paper,a solution was proposed on the case of repeated connection of the same attribute data in the mining of multi-dimensional association rules.By comparing multivalued attribute information,the algorithm removed the attribute information of duplicate connection,retained the effective information,and reduced scanning of the database.The algorithm improved the connection steps of the Apriori algorithm and obtained the data information and results by using the Boolean association rules.Compared to the Apriori algorithm,the improved algorithm is more quick and accurate to discover knowledge and shorten the time of mining.关键词
多维关联规则/多值属性/Apriori算法/布尔型关联规则Key words
multi-dimensional association rule/multi-valued attribute/Apriori algorithm/Boolean association rule分类
信息技术与安全科学引用本文复制引用
赵龙,杨小兵,吴强,高宇..一种基于多值属性的改进Apriori算法[J].中国计量大学学报,2017,28(1):108-112,5.
