A Dynamic Clustering-Based Markov Model for Web Usage Mining

  title={A Dynamic Clustering-Based Markov Model for Web Usage Mining},
  author={Jos{\'e} Luis Cabral de Moura Borges and Mark Levene},
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 accuracy in representing a collection of user web navigation sessions. The method makes use of the state cloning concept to duplicate states in a way that separates in-links whose corresponding second-order probabilities diverge. In addition, the new method incorporates a clustering technique which determines an efficient way… CONTINUE READING
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