【摘要】 高校图书馆数据日益增加,为了更好地利用海量图书馆数据,加强图书馆自身建设、满足读者需求,基于山东科技大学图书馆数据,利用FP-Growth算法进行学科间关联分析、借阅图书分布分析、借阅量分析及图书流通量分析,并提出相应对策。结果表明,基于FP-Growth算法对图书馆数据进行关联分析,可以及时发现隐藏的规则和信息,为图书馆建设提供决策支持,提高图书利用率,更好地满足读者需求。更多还原

【Abstract】 With the increasing number of data in university libraries,in order to make better use of the huge data to strengthen the library construction and meet the needs of readers.Based on multi-dimensional data of Shandong University of Science and Technology library,this paper uses the FP-Growth algorithm to conduct the association analysisbetween the disciplines,borrowing book distribution analysis,borrowing volume analysis and book circulation analysis,and proposes corresponding countermeasures.The results show that the correlation analysis of library data can discover existing rules and information in time,provide decision support for library construction,increase the utilization rate of books and better meet readers’ needs.更多还原