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 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.
Cite
CITATION STYLE
Codocedo, V., Baixeries, J., Kaytoue, M., & Napoli, A. (2019). Sampling representation contexts with attribute exploration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11511 LNAI, pp. 307–314). Springer Verlag. https://doi.org/10.1007/978-3-030-21462-3_20
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