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An evolutionary factor analysis computation for mining website structures


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Opened Access An evolutionary factor analysis computation for mining website structures

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Author: Martínez Torres, María del Rocío
Toral, S. L.
Palacios Florencio, Beatriz
Barrero, Federico
Department: Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)
Universidad de Sevilla. Departamento de Ingeniería Electrónica
Date: 2012
Published in: Expert Systems with Applications, 39(14), 11623-11633
Document type: Article
Abstract: This paper explores website link structure considering websites as interconnected graphs and analyzing their features as a social network. Two networks have been extracted for representing websites: a domain network containing subdomains or external domains linked through the website and a page network containing webpages browsed from the root domain. Factor analysis provides the statistical methodology to adequately extract the main website profiles in terms of their internal structure. However, due to the large number of indicators, the task of selecting a representative subset of indicators becomes unaffordable. A genetic search of an optimum subset of indicators is proposed in this paper, selecting a multiobjective fitness function based on factor analysis results. The optimum solution provides a coherent and relevant categorization of website profiles, and highlights the possibilities of genetic algorithms as a tool for discovering new knowledge in the field of web mining
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