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.
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Acknowledgments
This research work has been supported by the recognition of 2017SGR-856 (MACDA) from AGAUR (Generalitat de Catalunya), and the grant TIN2017-89244-R from MINECO (Ministerio de Economía y Competitividad).
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Codocedo, V., Baixeries, J., Kaytoue, M., Napoli, A. (2019). Sampling Representation Contexts with Attribute Exploration. In: Cristea, D., Le Ber, F., Sertkaya, B. (eds) Formal Concept Analysis. ICFCA 2019. Lecture Notes in Computer Science(), vol 11511. Springer, Cham. https://doi.org/10.1007/978-3-030-21462-3_20
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DOI: https://doi.org/10.1007/978-3-030-21462-3_20
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