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Practical comparison of FCA extensions to model indeterminate value of ternary data

Keip Priscilla, Ferré Sébastien, Gutierrez Alain, Huchard Marianne, Silvie Pierre, Martin Pierre. 2020. Practical comparison of FCA extensions to model indeterminate value of ternary data. In : CLA 2020 - Concept lattices and their applications. Valverde-Albacete Francisco J. (ed.), Trnecka Martin (ed.). Aachen : CEUR-WS, pp. 197-208. (CEUR Workshop Proceedings, 2668) International Conference on Concept Lattices and their Applications. 15, Tallinn, Estonie, 29 June 2020/1 July 2020.

Paper with proceedings ; Article de recherche
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Url - jeu de données : https://doi.org/10.18167/DVN1/VNCZYA

Abstract : The Knomana knowledge base brings together knowledge from the scientific literature on the use of plants with pesticidal or antibiotic effects on animals, plants, and human beings to propose protection solutions using local plants. In this literature, the elements of the 3-tuple (protected organism, protecting plant, pest) are named using the binomial nomenclature consisting of the genus name followed by the species name. In some instances, authors use the abbreviation "sp." in the singular or "spp." in the plural, as species name, to indicate the indeterminate status of the species for a guaranteed genus. To suggest protection solutions, the indeterminacy of the species has to be hypothesized based on assigning the sp./spp. to the other species in the same genus and conversely. This paper discusses the classification of ternary data containing some indeterminate values generated by three extensions of Formal Concept Analysis.

Mots-clés libres : Data mining, Classification, Pesticidal plants

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/596562/)

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