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机构地区:[1]江苏大学,镇江212013
出 处:《计算机科学》2003年第7期73-76,共4页Computer Science
基 金:国家自然科学基金(60173064);江苏省自然科学基金(NO.BK200204)
摘 要:In this paper, we first briefly introduce the concepts of clickstream data and data warehouse, analyze twoexisting clickstream star schema click star schema and session star schema in webhouse, then induce a new mod-el 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 se-quence 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.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 with the 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 hand it is in favor of executing more deepen analysis-data mining, and simplifies the process of data pretreatment. At last,the paper verifies its' feasibility and validity using association rules based on the model.
关 键 词:数据仓库 数据模型 数据挖掘 数据库 事务数据模型 设计 点击流数据
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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