Article ID Journal Published Year Pages File Type
487479 Procedia Computer Science 2015 7 Pages PDF
Abstract

Keyword based search engine generally provides result set with a large number of web pages, mostly irrelevant. The world wide web is a large collection of web/hypertext document, so effort is required to provide relevant data for a given set of query with less response time. This paper implements the semantic-synaptic web mining algorithm, and compares the result with other existing algorithm. The algorithm focuses on use of entropy for finding accurate results for any given query.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)