DocumentCode
589913
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
fYear
2012
fDate
21-23 Nov. 2012
Firstpage
31
Lastpage
34
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;
fLanguage
English
Publisher
ieee
Conference_Titel
ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2012 10th International Conference on
Conference_Location
Bangkok
ISSN
2157-0981
Print_ISBN
978-1-4673-2316-1
Type
conf
DOI
10.1109/ICTKE.2012.6408567
Filename
6408567
Link To Document