节点文献
点击流中事务数据模型的设计与实现
Design and Implement of Transaction Data Model in Clickstream
【摘要】 <正> 点击流数据简单说就是Web服务器上一系列有序的日志记录。随着WWW应用及电子商务的高速发展,电子商务网站的Web服务器上自动收集了大量的用户访问信息记录,即所谓的Web日志。Web日志蕴涵了大量的有用信息,如客户来源、客户访问趋势、客户兴趣、网站流量等,因而记录和分析Web日志数据已逐渐成为e企业的一项重大活动。点击流数据仓库对原始的Web日志数据进行过滤、清洗并集成,以便于利用联机分析处理和数据挖掘技术对点击流数据做进一步分析,从而为企业创造巨大的信息财富。
【Abstract】 In this paper, we first briefly introduce the concepts of clickstream data and data warehouse, analyze two existing clickstream star schema-click star schema and session star schema in webhouse, then induce a new model-transaction star model based on them, and expressed the method of bringing out the model. Comparing withthe two schemas mentioned above, its most apparent speciality is that it includes a series of meaningful page-view sequence rather than a single click. Thus, on the one hand it improves the query performance of data, on the other handit is in favor of executing more deepen analysis-data mining, and simplifies the process of data pretreatment. Atlast,the paper verifies its’ feasibility and validity using association rules based on the model.
【Key words】 Clickstreams; Data warehouse; Star schema; Transaction fact model; Association rules;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2003年07期
- 【分类号】TP393.092
- 【被引频次】8
- 【下载频次】110