%0 Journal Article
%T Cost Model for the Recommendation of Materialized Webviews
%A Ali Ben Ammar
%A Abdelaziz Abdellatif
%J International Journal of Data Mining & Knowledge Management Process
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X In this paper we present a cost model for the recommendation of candidate webviews. Our idea is tointervene at regular period of time in order to filter the candidate webviews which will be used by analgorithm for the selection of materialized webviews in data¨Cintensive websites (DIWS). The aim is toreduce the complexity and the execution cost of the online selection of materialized webviews. A webview isa static instance of a dynamic web page. The materialization of webviews consists of storing the results ofsome requests on the server in order to avoid repetitive data generation from the sources. Our experimentresults show that our solution is very efficient to specify the more profitable webviews and to improve thequery response time.
%K Cost model
%K Materialization weight
%K Web-usage mining
%K Materialized Webview Selection
%K Quality of data
%K Quality of service.
%U http://airccse.org/journal/ijdkp/papers/2112ijdkp01.pdf