SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A general framework for the view selection problem for data warehouse design and evolution
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Effective personalization based on association rule discovery from web usage data
Proceedings of the 3rd international workshop on Web information and data management
Optimization of Run-time Management of Data Intensive Web-sites
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Exploring the tradeoff between performance and data freshness in database-driven Web servers
The VLDB Journal — The International Journal on Very Large Data Bases
A fragment-based approach for efficiently creating dynamic web content
ACM Transactions on Internet Technology (TOIT)
Web usage mining for the recommendation of materialized webviews
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Multi-constraint selection of materialized webviews
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
MOWS: macro and micro online webview selection
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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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.