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» COWES: Clustering Web Users Based on Historical Web Sessions
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APWEB
2003
Springer
13 years 9 months ago
A Web User Profiling Approach
People display regularities in almost everything they do. This paper proposes characteristics of an idealized algorithm that would allow an automatic extraction of web user profil ...
Younes Hafri, Chabane Djeraba, Peter L. Stanchev, ...
CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 5 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
WISE
2005
Springer
13 years 11 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
IWPSE
2005
IEEE
13 years 11 months ago
Supporting Web Application Evolution by Dynamic Analysis
The evolution of Web Applications needs to be supported by the availability of proper analysis and design documents. UML use case diagrams are certainly useful to identify feature...
Giuseppe A. Di Lucca, Massimiliano Di Penta, Anna ...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 5 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher