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 (TIN2004-07087)
Journal: Lecture Notes in Computer Science 
Conference: 8th International Conference on Intelligent Data Engineering and Automated Learning 
8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007 
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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