Abstract
In this paper we report our first extended experiments on Conceptual Web log generation and XML Mining over generated Conceptual logs. Conceptual logs are XML Web server log containing rich information about the structure of a Web site and its content. Furthermore they can be automatically generated starting from a proper logging facility and a conceptual application model. This allows an easier analysis of the results of the mining process, thanks to the rich information provided and allows to perform the data mining process at different levels of abstraction. In this work we use WebML as conceptual model, and XMINE as mining tool; nevertheless the underlying idea is of general validity and can be applied to any other conceptual modeling framework and mining technique.
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Facca, F.M. (2007). Combining Web Usage Mining and XML Mining in a Real Case Study. In: Berendt, B., Hotho, A., Mladenic, D., Semeraro, G. (eds) From Web to Social Web: Discovering and Deploying User and Content Profiles. WebMine 2006. Lecture Notes in Computer Science(), vol 4737. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74951-6_2
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DOI: https://doi.org/10.1007/978-3-540-74951-6_2
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