Analysis and Design of Outlier Detection Method to Improve Web Page Surfing

摘要

Web page surfing and extracting results from the global space is a trendiest feature in the current fast moving world. The most important challenge we need to deliberate in this era is unwanted page navigation and page region hanging. This issue arises because of loading the unwanted tags and navigation links presented into the website, which is literally created by the intruders or it may cause due to multiple page visits over same time. In this paper, we need to prove the effect and causes of site page surfing problems and eliminate the outliers along with the pages to cause these kinds of navigation problems. An innovative algorithm is proposed to solve these issues occurring while surfing with web pages, called Efficient Page Surfing Algorithm [EPSA]. The EPSA scheme enables the page content analysis scheme at each moment whenever the user surf for the page and produce the analysis result at every time of surfing. It will be more perfect for the users who surf for the respective details in web medium. For all with this system we need to experimentally prove our proposed algorithm is perfectly suitable to detect and eliminate the outliers presented into the web page and provide efficient surfing over large resource availability medium, which is nothing but web and web services.