基于概念格的数字档案馆用户知识序列模式挖掘研究

序列模式挖掘在数字档案馆学界没有关联规则与聚类规则挖掘,那么引起学者的重视,其原因是因为传统序列模式挖掘中耗费了大量时间,导致工作量巨大。不过在实际生活趋势分析、相关周期分析与查询相似性等方面,序列模式具有很强的指导作用。本文首先对概念格的序列模式挖掘形式进行简单地分析,接着论述了概念格的序列模式挖掘的主要理念与步骤,然后以此为理论依据对概念格的用户知识序列模式挖掘重点分析,最后从时间、效果、应用前景等方面对概念格的用户知识序列模式挖掘进行探讨。从而说明了该模式挖掘能够帮助数字档案馆对拓扑结升级、检索速度的加快、个性化服务的完善,以及智能化图书的建设等方面发挥重要作用。

Research on knowledge sequence pattern mining of Digital Archives Users Based on concept lattice

Sequential pattern mining has no association rule and clustering rule mining in the field of digital archives,so it attracts the attention of scholars.The reason is that the traditional sequential pattern mining consumes a lot of time,which leads to a huge workload.However,in the aspects of real life trend analysis,correlation cycle analysis and query similarity,sequence pattern has a strong guiding role.This paper first analyzes the sequential pattern mining form of concept lattice,then discusses the main concepts and steps of sequential pattern mining of concept lattice,then analyzes the user knowledge sequential pattern mining of concept lattice based on this theory,and finally discusses the user knowledge sequential pattern mining of concept lattice from the aspects of time,effect and application prospect.It shows that the pattern mining can help the digital library to upgrade the topology and speed the retrieval。