Title :
A rough set approach to identify content and navigational pages at a website
Author :
Jose, Jithin ; Lal, P.S.
Author_Institution :
Dept. of Comput. Applic., BPC Coll., Piravom, India
Abstract :
Web Usage Mining also known as Web Log Mining provides immense information about user traffic and behavior at a web site. In a web site, the users may spend different time for viewing different pages. The aim of this paper is to identify the content and navigational pages in a web site based on rough set approach to identify potential pages. Identifying content pages is useful in target advertising which may bring increased revenue to the advertisers. The reference length on each page also leads to the discovery of most preferred content by a user. We also intend to see whether the content pages varies with time.
Keywords :
Web sites; data mining; rough set theory; user interfaces; Web log mining; Web site content identification; Web site navigational page; Web usage mining; advertiser revenue; page reference length; rough set approach; user behavior; user traffic; Advertising; Approximation methods; Data mining; Knowledge discovery; Navigation; Web sites; Content Pages; Navigational Pages; Web Logs; Web Usage Mining;
Conference_Titel :
Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
Conference_Location :
Kottayam
Print_ISBN :
978-1-4673-5089-1
DOI :
10.1109/iMac4s.2013.6526377
