基于Clementine的图书馆流通数据挖掘

Data Mining on Library Circulation Data Based on Clementine

数字图书馆改变了传统图书馆的服务模式,同时也积累了大量的读者信息,为个性化服务提供了数据基础。本文重点研究聚类分析技术及其在图书馆中的应用,利用Clementine的两步聚类模型实现对读者的聚类分析,将读者聚类为消极型、一般型和积极型三种类型,针对不同类型的读者,图书馆可以提供相应的个性化服务。

Digital library has changed the traditional model of library services,it accumulats a large number of readers information which provide base data for personalized service.This article focuses on a cluster analysis technique and its application in the library,using clementine＇s two-step clustering model of cluster analysis on readers.Readers are clustered into three types： negative type,general type and positive type,library can provide personalized service for different types of readers.