读者需求分析中的数据挖掘技术

针对高校图书馆读者借阅文献类型、流量实时监测问题,提出了一种基于数据挖掘中聚类算法的自动分类和统计分析方法.以方法开发出流量分类统计和预报应用系统,在大庆石油学院图书馆进行了实际应用,结果证明了该算法是有效和可靠的.

Technology of data mining-based in customer requirement analysis

In this paper, an automatic classification method approaching to dynamic inspect style of books borrowed in university library is shown. It is based on data mining algorithm in the association field. By this method, the borrowing information is coded and standardized according to classification standard in internal library. The method supported by reader database of library circulation system is applied to clustering analysis of borrowing information in Daqing Petroleum University library. Both the availability and credibility of the method have been proved by the simulated experience.