A fuzzy logic framework for web page filtering

Vrettos, S; Stafylopatis, A

dc.contributor.author	Vrettos, S	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:49:07Z
dc.date.available	2014-03-01T02:49:07Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34315
dc.subject	Fuzzy Logic	en
dc.subject	Fuzzy Membership Function	en
dc.subject	Fuzzy System	en
dc.subject	Web Pages	en
dc.subject	Open Directory Project	en
dc.title	A fuzzy logic framework for web page filtering	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/NEUREL.2002.1057966	en
heal.identifier.secondary	http://dx.doi.org/10.1109/NEUREL.2002.1057966	en
heal.publicationDate	2002	en
heal.abstract	This work proposes a fuzzy logic framework suitable for web page filtering. Web page classifiers are trained off-line using the directory structure of the Open Directory Project (http://dmoz.org/) and are available to the user through an appropriate interface. These classifiers are considered as fuzzy membership functions which determine the membership degree of a web page to each class. The user	en
heal.journalName	Seminar on Neural Network Applications in Electrical Engineering	en
dc.identifier.doi	10.1109/NEUREL.2002.1057966	en