K-means算法在个性化图书管理中的应用研究  

Research on the application of K-means algorithm in the individualized library management

作　　者：李巧君[1] 闫兵[1] 

机构地区：[1]河南工业职业技术学院,河南南阳473009

出　　处：《自动化与仪器仪表》2015年第5期154-156,共3页Automation & Instrumentation

摘　　要：随着数据挖掘技术的迅速发展,其重点已经从理论研究过渡到实践应用。本文以我院图书管理系统中读者借阅信息数据为研究对象,利用数据挖掘中K-means算法对其进行挖掘和分析,将读者分为活跃读者、一般读者和不活跃读者三类。根据不同读者类型的特点为其提供个性化的导航和服务,提升图书馆的服务质量和水平,满足各类读者的借阅需求,更好地为全院师生服务。With the rapid development of data mining technology,the focus has transition from theoretical research to practical application.Based on our books management system management system of the reader borrow information data as the research object,using the K- means algorithm in data mining to data mining and analysis,readers can be divided into active reader is not active,the general reader and the reader.According to the characteristics of the different types of readers to provide personalized navigation,and service,promote the library service quality and level,meet the needs of all kinds of readers＇ borrowing,better service for the partial teachers and students.

关 键 词：数据挖掘 K-MEANS算法 图书管理 个性化服务 

分 类 号：TP311.138[自动化与计算机技术—计算机软件与理论]