摘要
基于SAS的Web使用日志用户聚类分析，即通过SAS数据挖掘工具将由Web使用日志数据经过数据转换和数据预处理后形成的用户事务表数据运用不同的方法进行聚类分析，以达到根据不同类别用户的需求对数字资源进行合理的采购和管理，为用户提供个性化服务的目的。
The user cluster Analysis of Web Usages Logs based on SAS is the data of Web Usages Logs for data conversion, get- ring the user transaction table which is pre-formed after the handling of the corresponding data, then making the user cluster anal- ysis through the SAS data mining tools. Digital resources are reasonably procured and managed according to the demands of dif- ferent users on digital resources. Personalized services can be provided for different users.
作者
欧阳烽
OU Yang-feng （Hunan Normal University, Changsha 410081, China）
出处
《电脑知识与技术》
2013年第9期5595-5597,共3页
Computer Knowledge and Technology
