基于概念格的数字图书馆用户知识序列模式挖掘研究

Research on User Knowledge Sequential Pattern Mmining in Digital Library Based on Concept Lattice

文章对基于概念格的数字图书馆用户知识序列模式挖掘进行了研究,目的是通过检索行为中的挖掘序列模式,对数字图书馆用户服务进行完善和改进。用户对于图书馆的检索要求比较高,所以本文在进行设计时,充分考虑到了用户的需求。通过自顶向下概念格迭代在进行数字图书馆用户知识序列模式挖掘时,无须遍历原始用户知识行为数据库,从而使挖掘时间大幅压缩,获得的挖掘效果良好。

This paper studies the mining of user knowledge sequence patterns in Digital Library Based on concept lattice. The purpose is to perfect and improve the user service of Digital Library Based on the mining sequence patterns in user retrieval behavior of digital library, and to mine the user knowledge association rules of Digital Library Based on concept lattice.Then, this paper analyzes the knowledge organization of digital library from the user’s point of view, and extracts frequent itemsets and reusability advantages by top-down concept lattice iteration, so that the frequent itemsets satisfying the support threshold can be obtained, and finally the user knowledge sequence pattern of digital library can be obtained. The top-down concept lattice iteration does not need to traverse the original user knowledge behavior database when mining user knowledge sequence patterns in digital libraries, thus greatly reducing the mining time and achieving good mining results.