摘要
在科学技术和互联网技术不断发展和进步的当下,社会全面进入数据化时代。为了满足社会发展的需求,更多的图书馆走向了数字化发展的趋势,智慧图书馆建设已经成为社会既定发展的战略。在数据信息技术的支撑下,智慧型图书馆可以借助信息技术的形式,及时追踪和分析广大用户的需求,通过数据信息挖掘、交互的形式,全面提升用户获取信息的明确性与灵活性,以便于达到图书馆的服务目的。本文将针对数据挖掘技术在智慧型图书馆建设中的构架进行详细分析,旨在研究出数据挖掘感知读者借阅规律与优化策略。
With the continuous development and progress of science and technology and Internet technology,the society has entered the era of data.In order to meet the needs of social development,more libraries are moving towards the trend of digital development,and the construction of intelligent library has become the established development strategy of the society.With the support of data and information technology,intelligent library can track and analyze the needs of users in time in the form of information technology.Through data information mining and interaction,it can comprehensively improve the clarity and flexibility of users’access to information,so as to achieve the service purpose of library.This paper will analyze the framework of data mining technology in the construction of Intelligent Library in detail,in order to study the law and optimization strategy of data mining perceptive readers’borrowing.
作者
刘尧
Liu Yao(Tianjin Vocational Institute,Tianjin 300410,China)
出处
《信息与电脑》
2020年第2期134-136,共3页
Information & Computer
关键词
数据挖掘
高校
智慧型图书馆
data mining
university
intelligent library
作者简介
刘尧(1982—),男,天津人,在职研究生,助理馆员。研究方向:图书馆借阅服务。
