Mining the Most Interesting Web Access Associations

  title={Mining the Most Interesting Web Access Associations},
  author={Li Shen and Ling Cheng and James Ford and Fillia Makedon and Vasileios Megalooikonomou and Tilmann Steinberg},
Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patterns, we use data mining techniques which analyze historical web access logs. In this paper, we present an efficient approach to mine the most interesting web access associations, where the word "interesting" denotes patterns that are supported by a high fraction of access activities with strong confidence. Our approach… CONTINUE READING

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