Abstract

Mining association rules, including implications, is an important topic in Knowledge Discovery research area and in Formal Concept Analysis (FCA). In this paper, we present a novel algorithm that computes in a parallel way the canonical direct unit basis of a formal context in FCA. To that end, the algorithm first performs a horizontal split of the initial context into subcontexts and then exploits the notion of minimal dual transversal to merge the canonical direct unit bases generated from subcontexts.

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