Web usage mining with evolutionary extraction of temporal fuzzy association rules

@article{Matthews2013WebUM,
  title={Web usage mining with evolutionary extraction of temporal fuzzy association rules},
  author={Stephen G. Matthews and Mario A. G{\'o}ngora and Adrian A. Hopgood and S Farzad Ahmadi},
  journal={Knowl.-Based Syst.},
  year={2013},
  volume={54},
  pages={66-72}
}
In Web usage mining, fuzzy association rules that have a temporal property can provide useful knowledge about when associations occur. However, there is a problem with traditional temporal fuzzy association rule mining algorithms. Some rules occur at the intersection of fuzzy sets’ boundaries where there is less support (lower membership), so the rules are lost. A genetic algorithm (GA)-based solution is described that uses the flexible nature of the 2-tuple linguistic representation to… CONTINUE READING
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