Cost Model for the Recommendation of Materialized Webviews
Ali Ben Ammar · International Journal of Data Mining & Knowledge Management Process · 2012
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.