Artificial Immune System based Firefly Approach for Web Page Classification

Abstract

WWW is now a famous medium by which people all around the world can spread and gather the information of all kinds. But web pages of various sites that are generated dynamically contain undesired information also. This information is called noisy or irrelevant content. Web publishing techniques create numerous information sources published as HTML pages. Navigation panels, Table of content, advertisements, copyright statements, service catalogs, privacy policies etc. on web pages are considered as relevant and irrelevant content. This paper discusses various methods for web pages classification and a new approach for content extraction based on firefly feature extraction method with danger theory for web pages classification