Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal

Authors:
Antonio Soriano-Asensi;José D. Martín-Guerrero;Emilio Soria-Olivas;Alberto Palomares;Rafael Magdalena-Benedito;Antonio J. Serrano-López
Affiliations:
Digital Signal Processing Group, Electronic Engineering Department, University of Valencia, CL. Dr. Moliner, 50. 46100 Burjassot (Valencia), Spain;Digital Signal Processing Group, Electronic Engineering Department, University of Valencia, CL. Dr. Moliner, 50. 46100 Burjassot (Valencia), Spain;Digital Signal Processing Group, Electronic Engineering Department, University of Valencia, CL. Dr. Moliner, 50. 46100 Burjassot (Valencia), Spain;Tissat S.A., R&D Department, Parc Tecnolòògic, Av. Leonardo Da Vinci, 5. 46980 Paterna (Valencia), Spain;Digital Signal Processing Group, Electronic Engineering Department, University of Valencia, CL. Dr. Moliner, 50. 46100 Burjassot (Valencia), Spain;Digital Signal Processing Group, Electronic Engineering Department, University of Valencia, CL. Dr. Moliner, 50. 46100 Burjassot (Valencia), Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

Citing 5
Cited 5

Self-organization and associative memory: 3rd edition

Self-organization and associative memory: 3rd edition
Web page clustering using a self-organizing map of user navigation patterns

Decision Support Systems - Special issue: Web data mining
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms

Expert Systems with Applications: An International Journal
Clustering of the self-organizing map

IEEE Transactions on Neural Networks
The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data

IEEE Transactions on Neural Networks

Visualized cognitive knowledge map integration for P2P networks

Decision Support Systems
OntoPortal: An ontology-supported portal architecture with linguistically enhanced and focused crawler technologies

Expert Systems with Applications: An International Journal
A new document representation using term frequency and vectorized graph connectionists with application to document retrieval

Expert Systems with Applications: An International Journal
Interpreting the web-mining results by cognitive map and association rule approach

Information Processing and Management: an International Journal
Topological pattern discovery and feature extraction for fraudulent financial reporting

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.06

Visualization

Abstract

This work is focused on the usage analysis of a citizen web portal, Infoville XXI (http://www.infoville.es) by means of Self-Organizing Maps (SOM). In this paper, a variant of the classical SOM has been used, the so-called Growing Hierarchical SOM (GHSOM). The GHSOM is able to find an optimal architecture of the SOM in a few iterations. There are also other variants which allow to find an optimal architecture, but they tend to need a long time for training, especially in the case of complex data sets. Another relevant contribution of the paper is the new visualization of the patterns in the hierarchical structure. Results show that GHSOM is a powerful and versatile tool to extract relevant and straightforward knowledge from the vast amount of information involved in a real citizen web portal.