大数据挖掘背景下智慧图书馆读者行为数据分析模式研究

Research on Reader's Behavior Data Analysis Model of Smart Library under the Background of Big Data Mining

文章立足大数据挖掘技术背景下,对智慧图书馆平台资源进行搜集整理,采集读者的历史行为数据,利用数据库、网络数据、读者流、读者行为感知四个维度,深入挖掘读者的真实所需,运用数据分析及数据建模技术,整理、分析读者行为数据,数据分析结果作为智慧图书馆的服务效率和服务质量提升的决策依据。

Based on the background of big data mining technology,this article will collect and organize smart library platform resources,gather historical behavior data of readers,and dig deeper into readers to satisfy their real needs through four dimensions:database,network data,passenger flow,and reader’s behavior perception.It also uses data analysis and data modeling techniques to organize user data and formulate classification rules corresponding to reader’s behavior.It will also collect and analysis the data of reader’s behavior by data analysis and data molding technology,the result of which can be used as a reference for improving the service efficiency and quality of smart libraries.