{"title":"The application of Cluster analysis in Library system","authors":"Jianwei Li, Pinghua Chen","doi":"10.1109/KAMW.2008.4810639","DOIUrl":null,"url":null,"abstract":"With the constant development of modern library, the function of library has changed gradually. How to improve the utilization rate of library resources, how to serve readers better, and how to play more active roles, all have been becoming the concrete task of library in future. Clustering analysis is the process of grouping a set of physical abstract objects into classes of similar objects, and it has a very good application in library. The clustering analysis of readers' behavior features in library automation system helps library improve services quality greatly, provide effective decision-making support for resource optimization, provide personalized information services for readers, and made library play more active roles in serving readers.","PeriodicalId":375613,"journal":{"name":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAMW.2008.4810639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
With the constant development of modern library, the function of library has changed gradually. How to improve the utilization rate of library resources, how to serve readers better, and how to play more active roles, all have been becoming the concrete task of library in future. Clustering analysis is the process of grouping a set of physical abstract objects into classes of similar objects, and it has a very good application in library. The clustering analysis of readers' behavior features in library automation system helps library improve services quality greatly, provide effective decision-making support for resource optimization, provide personalized information services for readers, and made library play more active roles in serving readers.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
