Research of Data Mining of Association Pattern Pairs in Multidimensional Structured Database

摘要：

User preference model first proposed using an intelligent method to set the minimum support. Secondly, we propose a new data mining problem, the structure of the database to find frequent patterns associated pair. To effectively address these problems, we developed a series of cutting ability with a strong algorithm. The new algorithm is also discussed in the one-dimensional and multidimensional structure of the database found on the applicability of the model and to assess the efficiency of the new algorithm.

关键词： Pattern Pairs Multidimensional Structured Database Data Mining

作者: Zhang Jing Huang Xiantong Yang Xinfeng

作者单位: Computer Science and Technology Department Nanyang Institute of Technology Nanyang,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 43-47

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）