Sampling Representation Contexts with Attribute Exploration
Abstract
We tackle the problem of constructing the representation context of a pattern structure. First, we present a naive algorithm that computes the representation context of a pattern structure. Then, we add a sampling technique in order to reduce the size of the output. We show that these techniques reduce significantly the size of the representation context for interval pattern structures.
Domains
Artificial Intelligence [cs.AI]
Origin : Files produced by the author(s)
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