摘要
本文根据Web数据流的动态性、连续性和实效性的特点,分析和挖掘不同类型的数据,成立样本库,将分类后的数据用相应的流算法进行处理,构建Web数据流高校资源服务平台。高校资源服务平台分为用户应用服务层、数据资源挖掘层、数据库提供层,通过自下而上数据的分析处理,实现高校资源应用资源服务,提高高校网络资源的有效利用。
According to the characteristics of Web data stream which is dynamic, continuous and effective, this article analyzes and provides insight of different types of data to set up the sample database and build the university's resources service platform of Web data stream which includes three layers-user-applying layer, data resources-excavated layer and database-provider layer by the way of processing classified data according to corresponding algorithms. In this case, the bottom-up data can be analyzed and processed in the platform, thus realizing university's applied resources service and enhancing the efficiency of the use of university's internet resources.
出处
《电子设计工程》
2011年第5期88-90,共3页
Electronic Design Engineering
基金
河南省科技厅基础与前沿技术研究计划资助项目(102300410244)
河南省教育厅自然科学研究计划资助项目(2011A520034)
商丘师范学院骨干教师资助项目(2008)
关键词
数据挖掘
数据流
资源整合
资源服务平台
data mining
data stream
resource integration
resource services platform