A tool for web usage mining

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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