期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2012
卷号：2
期号：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper we present a cost model for the recommendation of candidate webviews. Our idea is to intervene at regular period of time in order to filter the candidate webviews which will be used by an algorithm for the selection of materialized webviews in data–intensive websites (DIWS). The aim is to reduce the complexity and the execution cost of the online selection of materialized webviews. A webview is a static instance of a dynamic web page. The materialization of webviews consists of storing the results of some requests on the server in order to avoid repetitive data generation from the sources. Our experiment results show that our solution is very efficient to specify the more profitable webviews and to improve the query response time.
关键词：Cost model; Materialization weight; Web-usage mining; Materialized Webview Selection; Quality of data;Quality of service.
