Добірка наукової літератури з теми "Mesures de qualité pour les clés de liage"
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Статті в журналах з теми "Mesures de qualité pour les clés de liage":
Carrière, Vanessa. "Plan d’améliorations communautaires : Comment assurer la réussite?" Papers in Canadian Economic Development 17 (September 16, 2017): 40–49. http://dx.doi.org/10.15353/pced.v17i0.79.
SELLO, Kagiso Jacob. "ANALYSE D’ERREURS POUR AMÉLIORER L’ENSEIGNEMENT DE LA TRADUCTION EN CLASSE DE FLE." FRANCISOLA 2, no. 1 (July 5, 2017): 11. http://dx.doi.org/10.17509/francisola.v2i1.7523.
Cretu, Eleonora, Anita Long, and Kalliopi Stilos. "Facteurs facilitant ou contraignant l’utilisation, par les infirmières en pratique clinique d’oncologie, du système de mesure de la charge de travail GRASP pour offrir des soins axés sur les patients." Canadian Oncology Nursing Journal 32, no. 4 (October 24, 2022): 473–83. http://dx.doi.org/10.5737/23688076324473.
Bocodaho, O. B. M. Lucinde, Waris Kéwouyèmi Chouti, Comlan Achille Dedjiho, and Daouda Mama. "Evaluation de l’état trophique des eaux du complexe lagunaire côtier du Sud-Ouest Bénin en période de hautes eaux (de Togbin à l’Embouchure Mono)." International Journal of Biological and Chemical Sciences 14, no. 7 (December 7, 2020): 2618–28. http://dx.doi.org/10.4314/ijbcs.v14i7.20.
Uwandu, M. O., F. A. Ige, A. P. Okwuraiwe, C. K. Onwuamah, and R. A. Audu. "Communication: Implementation of biosafety in infection control: a 10-year review." African Journal of Clinical and Experimental Microbiology 22, no. 2 (April 8, 2021): 290–93. http://dx.doi.org/10.4314/ajcem.v22i2.23.
AKA, Natchia, Abou Traoré, Nadi Paul Dangui, and Yao Dakro Albert Gboko. "Suivi de la turbidité et des matières en suspension dans les rivières côtières en milieu tropical : cas de la Mé et de l’Agneby (sud-est de la Cote d’Ivoire)." Journal of Applied Biosciences 183 (March 31, 2023): 19103–22. http://dx.doi.org/10.35759/jabs.183.1.
Fambi, Komlan, Massabalo Ayah, Kossi Seyram Sossou, Goumpoukini Boguido, Limam Moctar Bawa, and Gbandi Djaneye-Boundjou. "Qualité et essais de traitement des eaux en milieu périurbain : cas des eaux de forage des cantons Légbassito et Vakpossito (Togo)." International Journal of Biological and Chemical Sciences 15, no. 1 (April 21, 2021): 317–37. http://dx.doi.org/10.4314/ijbcs.v15i1.28.
Coulibaly, Noupé Diakaria, Lassina Fondio, Mako François De Paul N’gbesso, Yannick Brindou, Christian Landry Ossey, and André Gabazé Gadji. "Influence des substrats fibre de coco, coque d’arachide et compost de soja sur le comportement de deux variétés de tomates TMA97 et Lindo en culture hydroponique." International Journal of Biological and Chemical Sciences 15, no. 1 (April 21, 2021): 200–211. http://dx.doi.org/10.4314/ijbcs.v15i1.17.
Queiroz, Eloiza Rocha, and José Falcão Sobrinho. "OS CAMINHOS DAS ÁGUAS NO MUNICÍPIO DE CARIRÉ, CEARÁ, BRASIL." Revista da Casa da Geografia de Sobral (RCGS) 21, no. 2 (September 30, 2019): 564–80. http://dx.doi.org/10.35701/rcgs.v21n2.505.
Kennie, Natalie R., Brenda G. Schuster, and Thomas R. Einarson. "Critical Analysis of the Pharmaceutical Care Research Literature." Annals of Pharmacotherapy 32, no. 1 (January 1998): 17–26. http://dx.doi.org/10.1177/106002809803200101.
Дисертації з теми "Mesures de qualité pour les clés de liage":
Abbas, Nacira. "Formal Concept Analysis for Discovering Link Keys in the Web of Data." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0202.
The Web of data is a global data space that can be seen as an additional layer interconnected with the Web of documents. Data interlinking is the task of discovering identity links across RDF (Resource Description Framework) datasets over the Web of data. We focus on a specific approach for data interlinking, which relies on the “link keys”. A link key has the form of two sets of pairs of properties associated with a pair of classes. For example the link key ({(designation,title)},{(designation,title) (creator,author)},(Book,Novel)), states that whenever an instance “a” of the class “Book” and “b” of the class “Novel”, share at least one value for the properties “creator” and “author” and that, “a” and “b” have the same values for the properties “designation” and “title”, then “a” and “b” denote the same entity. Then (a,owl:sameAs,b) is an identity link over the two datasets. However, link keys are not always provided, and various algorithms have been developed to automatically discover these keys. First, these algorithms focus on finding “link key candidates”. The quality of these candidates is then evaluated using appropriate measures, and valid link keys are selected accordingly. Formal Concept Analysis (FCA) has been closely associated with the discovery of link key candidates, leading to the proposal of an FCA-based algorithm for this purpose. Nevertheless, existing algorithms for link key discovery have certain limitations. First, they do not explicitly specify the associated pairs of classes for the discovered link key candidates, which can lead to inaccurate evaluations. Additionally, the selection strategies employed by these algorithms may also produce less accurate results. Furthermore, redundancy is observed among the sets of discovered candidates, which presents challenges for their visualization, evaluation, and analysis. To address these limitations, we propose to extend the existing algorithms in several aspects. Firstly, we introduce a method based on Pattern Structures, an FCA generalization that can handle non-binary data. This approach allows for explicitly specifying the associated pairs of classes for each link key candidate. Secondly, based on the proposed Pattern Structure, we present two methods for link key selection. The first method is guided by the associated pairs of classes of link keys, while the second method utilizes the lattice generated by the Pattern Structure. These two methods improve the selection compared to the existing strategy. Finally, to address redundancy, we introduce two methods. The first method involves Partition Pattern Structure, which identifies and merges link key candidates that generate the same partitions. The second method is based on hierarchical clustering, which groups candidates producing similar link sets into clusters and selects a representative for each cluster. This approach effectively minimizes redundancy among the link key candidates