Samia Saidi
ABSTRACT
The number of Web Usage Mining (WUM) applications is growing continuously, especially due to the business interest in e-commerce Web sites and the related Web-marketing applications.The application of WUM results goes beyond the subject of our thesis since one important part of our thesis deals with the problem of selection of WebViews using technicsof WUM. View materialization is an important issue ifwe want to improve the efficiency of many applications likeOLAP, Database and Web applications. In this proposal wesuggest a novel approach for selecting webviews to be materialized in order to optimize the response time of web queries since satisfying the needs of users is vital for Web sites. The selection of Webviews to be materialized was mainly based on the estimation of metrics requiring hard collects of multiple statistics [10] that's why, we believe on a solution based on mining an interesting set of webviews to be materialized from realistic data: Web log files. Thus, Web log files will be parsed, analyzed and treated to give a set of webviews, based on frequent closed itemsets.
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Index Terms
- Webview selection from user access patterns
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