Dataset of Knomana used to conduct the evaluation of RCA on large volumes of complex relational data

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Martin, Pierre; Gutierrez, Alain; Huchard, Marianne; Keip, Priscilla; Silvie, Pierre, 2020, "Dataset of Knomana used to conduct the evaluation of RCA on large volumes of complex relational data", https://doi.org/10.18167/DVN1/5AASZE, CIRAD Dataverse, V1

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Description	This dataset contains an anonymized except from Knomana knowledge base extracted November 10, 2019, and the output files resulting from the evaluation of seven algorithms (fca, ceres, pluton, Hermes, and iceberg with 10%, 30%, and 40% threshold) used to calculate the RCA lattice on the except. (2020)
Subject	Agricultural Sciences; Computer and Information Science
Keyword	data mining, plant health, agroecology
Related Publication	Braud A., Dolquès X., Gutierrez A., Huchard M., Keip P., Le Ber F., Martin P. Nica C. Silvie P. 2020. Dealing with Large Volumes of Complex Relational Data using RCA. In Missaoui R. et al (eds). Complex Data Analytics with Formal Concept Analysis. Springer (sous presse).
Notes	The Knomana knowledge base (Martin et al 2018) gathers knowledge from the scientific literature on the use of plants with pesticidal or antibiotic effect on animals, plants and humans.

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	Base_Knomana_anonymisee.xlsx MS Excel Spreadsheet - 6.8 MB - Jun 15, 2020 - 5 Downloads MD5: 39c0a517f5f9ea42cc4ecfde2db0c1be Excerp of Knomana used as input data	Access File Download Options Download
	Output_files.tar.gz Gzip Archive - 9.7 MB - Jun 15, 2020 - 3 Downloads MD5: 717e6d70b75a9efa938b4bfbf3069bb2 Output files created by RCAExplore	Access File Download Options Download
	ReadMe-CDA-FCA.pdf Adobe PDF - 158.4 KB - Jun 15, 2020 - 4 Downloads MD5: d327556f4fa8eb950cf8e44573a7ea21 Description of the datasets	Access File Download Options Download

Citation Metadata

Dataset Persistent ID	doi:10.18167/DVN1/5AASZE
Publication Date	2020-06-15
Title	Dataset of Knomana used to conduct the evaluation of RCA on large volumes of complex relational data
Subtitle	Connaissances de Knomana utilisées pour évaluer la méthode RCA sur un jeu volumineux de données relationnelles
Alternative Title	Connaissances de Knomana utilisées pour évaluer la méthode RCA sur un jeu volumineux de données relationnelles
Author	Martin, Pierre (CIRAD, UPR AIDA, F-34398 Montpellier, France) - ORCID: 0000-0002-4874-5795 Gutierrez, Alain (LIRMM, Université de Montpellier, CNRS, Montpellier, France) Huchard, Marianne (LIRMM, Université de Montpellier, CNRS, Montpellier, France) - ORCID: 0000-0002-6309-7503 Keip, Priscilla (CIRAD, UPR AIDA, F-34398 Montpellier, France) - ORCID: 0000-0001-6542-3360 Silvie, Pierre (IRD, UMR IPME, F-34394 Montpellier, France) - ORCID: 0000-0002-3406-6230
Contact	Use email button above to contact. Martin, Pierre (CIRAD, UPR AIDA, France)
Description	This dataset contains an anonymized except from Knomana knowledge base extracted November 10, 2019, and the output files resulting from the evaluation of seven algorithms (fca, ceres, pluton, Hermes, and iceberg with 10%, 30%, and 40% threshold) used to calculate the RCA lattice on the except. (2020)
Subject	Agricultural Sciences; Computer and Information Science
Keyword	data mining (Agrovoc) http://aims.fao.org/aos/agrovoc/c_eb9cea5d plant health (Agrovoc) http://aims.fao.org/aos/agrovoc/c_25398 agroecology (Agrovoc) http://aims.fao.org/aos/agrovoc/c_92381
Topic Classification	Protection des végétaux (AGRIS) http://www.fao.org/scripts/agris/
Related Publication	Braud A., Dolquès X., Gutierrez A., Huchard M., Keip P., Le Ber F., Martin P. Nica C. Silvie P. 2020. Dealing with Large Volumes of Complex Relational Data using RCA. In Missaoui R. et al (eds). Complex Data Analytics with Formal Concept Analysis. Springer (sous presse).
Notes	The Knomana knowledge base (Martin et al 2018) gathers knowledge from the scientific literature on the use of plants with pesticidal or antibiotic effect on animals, plants and humans.
Language	English; French
Producer	CIRAD https://www.cirad.fr IRD https://www.ird.fr
Contributor	Data Curator : Martin, Pierre Data Collector : Silvie, Pierre Data Manager : Keip, Priscilla Supervisor : Huchard, Marianne Data Manager : Gutierrez, Alain
Distributor	CIRAD
Depositor	Martin, Pierre
Deposit Date	2020
Kind of Data	Agregate data
Software	Excel pour Mac, Version: 16-16-21 RCAExplore, Version: 03/2020
Related Datasets	Jeux de données liés tels que ceux provenant de recherches antérieures (citation + url).
Data Sources	Pierre Martin, Samira Sarter, and Pierre Silvie. KNOMANA – Usage des plantes à effet pesticide, antimicrobien, antiparasitaire et antibiotique. Version 1. IDDN.FR.001.130024.000.S.P.2019.000.31235, 2019.
Origin of Sources	Pour les éléments historiques, informations sur l'origine des sources utilisées.

Geospatial Metadata

Geographic Unit	Afrique Continentale

Cirad Metadata

Filière(s)

Mil; Riz; Sorgho; Autres céréales; Canne à sucre; Arachide; Cotonnier; Autres plantes à fibres; Agrumes; Ananas; Bananier et plantain; Manguier; Autres plantes fruitières tropicales; Légumineuses alimentaires; Racines et tubercules; Légumes : feuilles, bulbes, fruits; Autres plantes légumières; Plantes condimentaires; Plantes médicinales; Plantes diverses; Equidés; Bovins, zébus, buffles, yack; Petits ruminants; Camélidés; Porcins; Volailles; Autres animaux domestiques; Poissons et animaux aquatiques

Thématique(s)

Fléaux, ravageurs; Plantes et produits tropicaux (filières végétales); Elevage et produits animaux (filières animales); Pêche et aquaculture

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Ce(tte) œuvre est mise à disposition selon les termes de la Licence Creative Commons Attribution 4.0 International.

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