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WEB Community Mining and WEB Log Mining: Commodity Cluster Based Execution
Kitsuregawa, M., Toyoda, M. and Pramudiono, I.
The emergence of WWW has drawn new frontiers for database research. Web mining has become a hot topic since WWW rapid expansion rate and chaotic nature have exposed some technical challenges as well as interesting discoveries. In general web mining can be classified into web structure mining and web usage mining. Here we introduce two applications of web mining, first from mining the web structure we identify web communities, and the second we mine web usage of mobile internet users on location aware search engine. Those applications require heavy computational power as well as good scalability. Cluster of commodity PCs is suitable as the platform to handle such applications. Here we also report some approaches for optimal parallel execution of mining algorithms on PC cluster.
Cite as: Kitsuregawa, M., Toyoda, M. and Pramudiono, I. (2002). WEB Community Mining and WEB Log Mining: Commodity Cluster Based Execution. In Proc. Thirteenth Australasian Database Conference (ADC2002), Melbourne, Australia. CRPIT, 5. Zhou, X., Ed. ACS. 3-10.
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