Research on Application of Digital Library based on Association Rules

摘要：

In this paper, based on the in-depth research on the related technologies of data mining and mining algorithms for association rules, it explores how to improve the effectiveness of the Apriori algorithm, and attempts to use the self-adaptive step length leap and dynamic pruning candidate itemsets to improve the defects of the Apriori algorithm, and then proposes an improved Apriori algorithm. In this paper, it focuses to explore how to apply the data mining techniques to the library management system to improve the management level and the efficiency of service, and hopes to play the reference and promoting roles in the research work of related scholars in this field.

关键词： data warehouse association rules digital library management

作者: Dianjun Xu Min Sui

作者单位: Library Bohai University Jinzhou,China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Computer Networks(ICICN 2011)(2011年信息与计算机网络国际会议)

会议地点: 贵阳

会议语种:英文

页码: 554-557

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）