Mining web documents to find additional query terms using fuzzy association rules

@article{MartnBautista2004MiningWD,
  title={Mining web documents to find additional query terms using fuzzy association rules},
  author={Maria J. Mart{\'i}n-Bautista and Daniel S{\'a}nchez and Jes{\'u}s Chamorro-Mart{\'i}nez and Jos{\'e}-Mar{\'i}a Serrano and M. Amparo Vila},
  journal={Fuzzy Sets and Systems},
  year={2004},
  volume={148},
  pages={85-104}
}
In this paper, we present an application of association rules to query re#nement. Starting from an initial set of documents retrieved from the web, text transactions are constructed and association rules are extracted. A fuzzy extension of text transactions and association rules is employed, where the presence of the terms (items) in the documents (transactions) is determined with a value between 0 and 1. The obtained rules o4er the user additional terms to be added to the query with the… CONTINUE READING

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  • M. Delgado
  • Mar&'n, M.J. Mart&'n-Bautista, D. S& anchez, M.A…
  • 2003
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Text mining using fuzzy association

  • M. J. Mart, 'n-Bautista, S D., anchez, J. M. Serrano, M. A. Vila
  • Fuzzy Logic and the Internet, Studies in…
  • 2004

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