Paper Info
Title
Web Usage Mining: Users' Navigational Patterns Extraction From Web Logs Using Ant-Based Clustering Method
Abstract
Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs) derived from the users' interaction with the web pages during certain period of Web sessions. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. In this paper, web logs of our university web server logs (http://www.um.ac.ir/) are pre-processed. Then, ant-based clustering is applied to pre-processed logs to extract frequent patterns for pattern discovery and then it is displayed in an interpretable format. Result of this paper would be useful for our university web site owner.
Year
Venue
Keywords
2009
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE
web usage mining, ant-based clustering, frequent pattern extraction, web mining
Field
DocType
Citations 
Data stream mining,Text mining,World Wide Web,Web mining,Computer science,Data Web,Cluster analysis
Conference
2
PageRank 
References 
Authors
0.38
10
4
Name
Order
Citations
PageRank
Kobra Etminani1161.99
Mohammad R. Akbarzadeh-tootoonchi220.38
Noorali Raeeji Yanehsari320.38
Mohammad R. Akbarzadeh-Totonchi412518.26