Web user clustering analysis based on KMeans algorithm

  title={Web user clustering analysis based on KMeans algorithm},
  author={Jinhua Xu and Hong Liu},
  journal={2010 International Conference on Information, Networking and Automation (ICINA)},
As one of the most important tasks of Web Usage Mining (WUM), web user clustering, which establishes groups of users exhibiting similar browsing patterns, provides useful knowledge to personalized web services. In this paper, we cluster web users with KMeans algorithm based on web user log data. Given a set of web users and their associated historical web usage data, we study their behavior characteristic and cluster them. Experiment results show the feasibility and efficiency of such algorithm… CONTINUE READING
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