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Identifying Temporal Trajectories of Association Rules with Fuzzy Descriptions
| Type of publication: | Inproceedings |
| Citation: | steinbrecher2008nafips |
| Booktitle: | Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2008) |
| Year: | 2008 |
| Month: | May |
| 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. |
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| Authors | |
| Added by: | [ADM] |
| Total mark: | 0 |
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