Closed-Set-Based Discovery of Representative Association Rules
نویسندگان
چکیده
منابع مشابه
Closed Set Based Discovery of Representative Association Rules
The output of an association rule miner is often huge in practice. This is why several concise lossless representations have been proposed, such as the “essential” or “representative” rules. We revisit the algorithm given by Kryszkiewicz (Int. Symp. Intelligent Data Analysis 2001, Springer-Verlag LNCS 2189, 350–359) for mining representative rules. We show that its output is sometimes incomplet...
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The output of an association rule miner is often huge in practice. This is why several concise lossless representations have been proposed, such as the “essential” or “representative” rules. We revisit the algorithm given by Kryszkiewicz (Int. Symp. Intelligent Data Analysis 2001, Springer-Verlag LNCS 2189, 350–359) for mining representative rules. We show that its output is sometimes incomplet...
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In this paper, we address the problem of the usefulness of the set of discovered association rules. This problem is important since real-life databases yield most of the time several thousands of rules with high confidence. We propose new algorithms based on Galois closed sets to reduce the extraction to small covers (or bases) for exact and approximate rules, adapted from lattice theory and da...
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Discovering association rules (AR) among items in a large database is an important database mining problem. The number of association rules may be large. To alleviate this problem, we introduced in [1] a notion of representative association rules (RR). RR is a least set of rules that covers all association rules. The association rules, which are not representative ones, may be generated by mean...
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ژورنال
عنوان ژورنال: International Journal of Foundations of Computer Science
سال: 2020
ISSN: 0129-0541,1793-6373
DOI: 10.1142/s0129054120400109