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@INPROCEEDINGS{steinbrecher2008nafips,
     author = {Steinbrecher, Matthias and Kruse, Rudolf},
      month = may,
      title = {Identifying Temporal Trajectories of Association Rules with Fuzzy Descriptions},
  booktitle = {Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2008)},
       year = {2008},
      pages = {1--6},
   location = {New York City, NY},
       isbn = {978-1-4244-2351-4},
        doi = {10.1109/nafips.2008.4531243},
   abstract = {We propose a novel postprocessing technique for identifying sets of association rules that expose a user-specified temporal development. We explicitly do not use a learning approach that requires the database to be subdivided into time frames. Instead, a global probabilistic learning method is used for induction. The resulting association rules are then matched against a set of fuzzy concepts. These concepts comprise user-built linguistic propositions that describe the evolution of rules that might be considered interesting. The proposed technique is evaluated on a real-world data set. To present the results, we introduce a modified rule visualization along the way that is an extension of our previous work.}
}