Paper Title
Web Traversal Subsequences Mining using Memetic Algorithm

Abstract
Abstract - In this age data development rate is exceptionally high on the web and because of this data over-burden issue happen generally. The arrangement of this issue is Web mining. In the sites the majority of the pages are connected with same data in the web . Client needs to look through the data on the site page in some grouping which have the pertinent data about that hunt .The crossing arrangement show the interest of the client .The navigate succession give us site structure and give the required data to the clients .In this examination paper ,memetic calculation is apply to find the Top crossing aftereffect valuable for transformative or any populace based approach. The goal of this paper is, to investigate a procedure populace based worldwide inquiry to extensively situate on those areas who are great in search space and make a mix with the singular answers for find the ideal which is nearby by the utilization of a rehashed neighbourhood search heuristic method . Preferably, a memeticcalculations the duality of Memetic and social advancement, determination, permitting the transmission, legacy, and variety of images. Keywords - Web-Mining, Web Data, Web Content, Web Use, Web Structure, Fact Release, User Navigation.