Abstract
The redundancy concept has been developed of various approaches. However, these approaches concern only the positive association rules, the negative association rules are less studied, and this, with less selective pair, support-confidence. To do remedy these limits, we propose a new approach allowing to generate all non-redundant positive and negative rules, and this, using the new selective pair, support-\(M_{GK}\).
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Notes
- 1.
For all \(X, Y\subseteq {\mathcal I}\), an association rule is negative if at least one two patterns is negative, of the form \(X\rightarrow \overline{Y}\), \(\overline{X}\rightarrow Y\) and \(\overline{X}\rightarrow \overline{Y}\), where \(\overline{{\mathcal A}}=\lnot {\mathcal A}={\mathcal I}\backslash {\mathcal A}\).
- 2.
For the sake of simplification, we will write P(X) instead of \(P(t(X)),~\forall X\subseteq {\mathcal I}\).
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Parfait, B., André, T. (2020). Elimination of Redundant Association Rules. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1051. Springer, Cham. https://doi.org/10.1007/978-3-030-30604-5_19
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