Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/42868
| Title: | A tool for web usage mining | Authors: | Domenech, Jose M. Lorenzo, Javier |
UNESCO Clasification: | 120304 Inteligencia artificial | Keywords: | Session Reconstruction Page Classification |
Issue Date: | 2007 | Project: | Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion | Journal: | Lecture Notes in Computer Science | Conference: | 8th International Conference on Intelligent Data Engineering and Automated Learning | Abstract: | This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniques. The tool covers different phases of the CRISP-DM methodology as data preparation, data selection, modeling and evaluation. The algorithms used in the modeling phase are those implemented in the Weka project. The tool has been tested in a web site to find access and navigation patterns. | URI: | http://hdl.handle.net/10553/42868 | ISBN: | 978-3-540-77225-5 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-540-77226-2_70 | Source: | Yin H., Tino P., Corchado E., Byrne W., Yao X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. IDEAL 2007. Lecture Notes in Computer Science, vol 4881. Springer, Berlin, Heidelberg |
| Appears in Collections: | Actas de congresos |
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