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Evaluating Importance of Conditions in the Set of Discovered Rules

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2007)

Abstract

We propose a new method for evaluating the contribution that elementary conditions give to a set of rules. It is based on previous results concerning importance and interaction of elementary conditions for a confidence of a single rule. The usefulness of the method is shown on two rule discovery problems.

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© 2007 Springer-Verlag Berlin Heidelberg

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Greco, S., Słowiński, R., Stefanowski, J. (2007). Evaluating Importance of Conditions in the Set of Discovered Rules. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2007. Lecture Notes in Computer Science(), vol 4482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72530-5_37

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  • DOI: https://doi.org/10.1007/978-3-540-72530-5_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72529-9

  • Online ISBN: 978-3-540-72530-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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