Abstract
Web mining is a broad term that has been used to refer to the process of information discovery from Web sources: content, structure, and usage. Information collected by web servers and kept in the server log is the main source of data for analyzing user navigation patterns. Notwithstanding, knowing the most frequent user paths is not enough: it is necessary to integrate web mining with the company site goals in order to make sites more competitive. The concept of Web Goal Mining is introduced in this paper to refer to the process information discovery of the relationship between site visitors and sponsor goals.
Research has been partially supported by Programa de Desarrollo Tecnológico (Uruguay).
Research has been partially supported by UPM (Spain) under project WEBP-RT.
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Hochsztain, E., Millán, S., Pardo, B., Peña, J.M., Menasalvas, E. (2003). A Framework to Integrate Business Goals in Web Usage Mining. In: Menasalvas, E., Segovia, J., Szczepaniak, P.S. (eds) Advances in Web Intelligence. AWIC 2003. Lecture Notes in Computer Science, vol 2663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44831-4_4
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