Title :
Discovery of similar user sessions from the entry point to a website
Author :
Jose, Jithin ; Lal, P.S.
Author_Institution :
Dept. of Comput. Applic., BPC Coll., Piravom, India
Abstract :
Web log mining is the extraction of knowledge from the information contained in web logs. Mining these web logs provides information regarding user traffic and behavior. We intend to see whether all the users entering through a particular page has similarity in their behavior. This paper aims to analyze and discover similar user sessions from the entry point to a web site using rank order clustering.
Keywords :
Internet; data mining; knowledge management; pattern clustering; user interfaces; Web log mining; knowledge extraction; rank order clustering; user behavior; user session; user traffic; Clustering algorithms; Conferences; Data mining; Educational institutions; Knowledge engineering; Web pages; Entry point; User Session; Web Log Mining; Web Usage Mining;
Conference_Titel :
ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2012 10th International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-2316-1
DOI :
10.1109/ICTKE.2012.6408567
