dc.creatorAzzag, Hanene
dc.creatorRatsimba, David
dc.creatorCosta, David da
dc.creatorGuinot, Christiane
dc.creatorVenturrini, Giles
dc.date2006-08
dc.date2006-08
dc.date2012-11-09T15:54:45Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/23998
dc.identifierisbn:0-387-34632-5
dc.descriptionWe present in this paper a clustering algorithm which is based on a cellular automaton and which aims at displaying a map of web pages. We describe the main principles of methods that build such maps, and the main principles of cellular automata. We show how these principles can be applied to the problem of web pages clustering: the cells, which are organized in a 2D grid, can be either empty or may contain a page. The local transition function of cells favors the creation of groups of similar states (web pages) in neighbouring cells. We then present the visual results obtained with our method on standard data as well as on sets of documents. These documents are thus organized into a visual map which eases the browsing of these pages
dc.description1st IFIP International Conference on Biologically Inspired Cooperative Computing - Web Organization
dc.descriptionRed de Universidades con Carreras en Informática (RedUNCI)
dc.formatapplication/pdf
dc.languageen
dc.relation19 th IFIP World Computer Congress - WCC 2006
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.subjectCiencias Informáticas
dc.titleOn building maps of web pages with a cellular automaton
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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