Multiscale Dimensionality Reduction and Rule Extraction for Web Mining Using Artificial Neural Network

Abstract

World Wide Web has become a powerful reservoir for storing, sharing and retrieving information. The web data is always huge, diverse in nature, dynamics in size and unstructured in format. The huge size leads to more patterns and hence consumes more time for computation. A blog is an informational website but the bloggers are not professional writers or editors always. Hence the contents may diverse from the topic expected. Hence the pages cannot be classified according to the keyword or title specified by the blogger. This drives the interest of the researchers to focus on blog classification based on contents as it helps the users who search on a particular topic of interest. newline