PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bonchi F., Giannotti F., Gozzi C., Manco G., Nanni M., Pedreschi D., Renso C., Ruggieri S. Web log data warehousing and mining for intelligent web caching. In: Data & Knowledge Engineering, vol. 39 (2) pp. 165 - 189. Elsevier, 2001.
 
 
Abstract
(English)
We introduce intelligent web caching algorithms that employ predictive models of web requests; the general idea is to extend the least recently used (LRU) policy of web and proxy servers by making it sensitive to web access models extracted from web log data using data mining techniques. Two approaches have been studied in particular, frequent patterns and decision trees. The experimental results of the new algorithms show substantial improvement over existing LRU-based caching techniques, in terms of hit rate. We designed and developed a prototypical system, which supports data warehousing of web log data, extraction of data mining models and simulation of the web caching algorithms.
DOI: 10.1016/S0169-023X(01)00038-6
Subject Web caching
Log data warehousing
Data mining
H.2.8 Database management. Database applications


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