Frequent pagesets from web log by enhanced weighted association rule mining

@article{Malarvizhi2015FrequentPF,
  title={Frequent pagesets from web log by enhanced weighted association rule mining},
  author={S. P. Malarvizhi and B. Sathiyabhama},
  journal={Cluster Computing},
  year={2015},
  volume={19},
  pages={269-277}
}
Mining frequently visited web pages from web logs have become an imminent need for web usage mining to understand the behavior of users. Frequent pageset mining and association rule mining (ARM) algorithms existing in the literatures suffer from storage and run time issues. It is because these algorithms mine all of the frequent pagesets based on minimum support threshold and all possible association rules based on minimum confidence threshold. Hence for analyzing the usage level of the web, a… CONTINUE READING

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