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» A Dynamic Clustering-Based Markov Model for Web Usage Mining
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CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 4 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
CIKM
2009
Springer
13 years 11 months ago
Using domain ontology for semantic web usage mining and next page prediction
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...
Nizar R. Mabroukeh, Christie I. Ezeife
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
13 years 2 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife
AI
2004
Springer
13 years 10 months ago
The Reconstruction of the Interleaved Sessions from a Server Log
Session reconstruction is an essential step in Web usage mining. The quality of reconstructed sessions affects the result of Web usage mining. This paper presents a new approach o...
John Zhong Lei, Ali A. Ghorbani
WIDM
2005
ACM
13 years 10 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...