A generalised regression algorithm for Web page categorisation

Anagnostopoulos, I; Anagnostopoulos, C; Kouzas, G; Vergados, DD

dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Anagnostopoulos, C	en
dc.contributor.author	Kouzas, G	en
dc.contributor.author	Vergados, DD	en
dc.date.accessioned	2014-03-01T01:19:45Z
dc.date.available	2014-03-01T01:19:45Z
dc.date.issued	2004	en
dc.identifier.issn	0941-0643	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15692
dc.subject	GRNN	en
dc.subject	Neural network	en
dc.subject	Web page classification	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	Algorithms	en
dc.subject.other	Classification (of information)	en
dc.subject.other	Hierarchical systems	en
dc.subject.other	Information retrieval	en
dc.subject.other	Management information systems	en
dc.subject.other	Neural networks	en
dc.subject.other	Generalized regression neural networks (GRNN)	en
dc.subject.other	Information systems	en
dc.subject.other	Taxonomy	en
dc.subject.other	Websites	en
dc.title	A generalised regression algorithm for Web page categorisation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s00521-004-0409-0	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s00521-004-0409-0	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper proposes an information system that classifies Web pages according a taxonomy, which is mainly used from seven search engines/directories. The proposed classifier is a four-layer generalised regression neural network (GRNN) that aims to perform the information segmentation according to information filtering techniques using content descriptor vectors. Eight categories of Web pages were used in order to evaluate the robustness of the method, while no restrictions were imposed except for the language of the content, which is English. The system can be used as an assistant and consultative tool for classification purposes as well as for estimating the population of Web pages at any given point in time.	en
heal.publisher	SPRINGER	en
heal.journalName	Neural Computing and Applications	en
dc.identifier.doi	10.1007/s00521-004-0409-0	en
dc.identifier.isi	ISI:000224641400007	en
dc.identifier.volume	13	en
dc.identifier.issue	3	en
dc.identifier.spage	229	en
dc.identifier.epage	236	en