Classifying web pages employing a probabilistic neural network

Anagnostopoulos, I; Anagnostopoulos, C; Loumos, V; Kayafas, E

dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Anagnostopoulos, C	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T01:20:00Z
dc.date.available	2014-03-01T01:20:00Z
dc.date.issued	2004	en
dc.identifier.issn	14625970	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15802
dc.subject	Probabilistic Neural Network	en
dc.subject	Web Pages	en
dc.subject.other	Electronic commerce	en
dc.subject.other	Information analysis	en
dc.subject.other	Radial basis function networks	en
dc.subject.other	World Wide Web	en
dc.subject.other	Information filtering	en
dc.subject.other	Probabilistic neural network	en
dc.subject.other	Neural networks	en
dc.title	Classifying web pages employing a probabilistic neural network	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/ip-sen:20040121	en
heal.identifier.secondary	http://dx.doi.org/10.1049/ip-sen:20040121	en
heal.publicationDate	2004	en
heal.abstract	The paper proposes a system capable of identifying and categorising Web pages on the basis of information filtering. The system is a three-layer probabilistic neural network (PNN) with biases and radial basis neurons in the middle layer and competitive neurons in the output layer. The domain of study involves the e-commerce area. Thus, the PNN scopes to identify e-commerce Web pages and classify them to the respective type according to a framework which describes the fundamental phases of commercial transactions in the Web. The system was tested with many types of Web pages, demonstrating the robustness of the method, since no restrictions were imposed except for the language of the content, which is English. The probabilistic classifier was used for estimating the population of specific e-commerce Web pages. Potential applications involve surveying Web activity in commercial servers, as well as Web page classification in largely expanding information areas like e-government or news and media.	en
heal.journalName	IEE Proceedings: Software	en
dc.identifier.doi	10.1049/ip-sen:20040121	en
dc.identifier.volume	151	en
dc.identifier.issue	3	en
dc.identifier.spage	139	en
dc.identifier.epage	150	en