Association Rules: Problems, solutions and new applications

نویسندگان

  • María N. Moreno
  • Saddys Segrera
  • Vivian F. López
چکیده

Association rule mining is an important component of data mining. In the last years a great number of algorithms have been proposed with the objective of solving the obstacles presented in the generation of association rules. In this work, we offer a revision of the main drawbacks and proposals of solutions documented in the literature, including our own ones. The work is focused also in the classification function of the association rules, a promising technique which is the subject of recent studies.

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تاریخ انتشار 2005