论文部分内容阅读
通过对FP-Growth算法的扩展,提出图书流通信息关联规则挖掘的新算法即MACLC-FP(Multilevel Association with Chinese Library Classification FP)算法;结合实例着重阐述应用该算法,采用多层关联分析技术,挖掘读者借阅行为中隐含规律的可行性;进而探讨该数据挖掘技术在现代图书馆中的应用前景。这对于图书馆调整资源建设的学科结构、提升读者服务的工作水平都具有重要意义。
Through the extension of FP-Growth algorithm, a new algorithm named MACLC-FP (Multilevel Association with Chinese Library Classification FP) is proposed, which is based on Multi-level Association with Chinese Library Classification FP (FPLC). With the help of this example, The feasibility of implicit rules in readers’ borrowing behavior; and then explore the application prospects of this data mining technology in modern libraries. This is of great significance for the library to adjust the disciplinary structure of resource construction and improve the working level of readers’ service.