International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 68 - Number 13 |
Year of Publication: 2013 |
Authors: Jeeva Jose, P. Sojan Lal |
10.5120/11639-7122 |
Jeeva Jose, P. Sojan Lal . A Forecasting Model for the Pages Crawled by Search Engine Crawlers at a Web Site. International Journal of Computer Applications. 68, 13 ( April 2013), 19-24. DOI=10.5120/11639-7122
World Wide Web is exploding in terms of the number of web sites and users. Without search engines the web sites will not be visible to the users. Different search engine crawlers behave in different ways while they access a web site. The number of visits and pages crawled by search engines could be helpful in identifying their behavior and also the server load. A forecasting model in time series has been proposed for predicting the number of pages crawled by search engines. This model was compared with the actual values and it was found feasible.