Abstract:
In text and Web page classification, Bayesian prior probabilities are usually based on term frequencies, term counts within a page and among all the pages. However, new a...Show MoreMetadata
Abstract:
In text and Web page classification, Bayesian prior probabilities are usually based on term frequencies, term counts within a page and among all the pages. However, new approaches in Web page representation use HTML mark-up information to find the term relevance in a Web page. This paper presents a naive Bayes Web page classification system for these approaches
Published in: 2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)
Date of Conference: 01-03 August 2006
Date Added to IEEE Xplore: 12 March 2007
CD:0-7695-2690-X
Contents 