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dc.date.accessioned 2022-08-08T14:55:00Z
dc.date.available 2022-08-08T14:55:00Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/140115
dc.description.abstract Data Warehouse projects in organizations as a basis for obtaining in-formation are having a great development today. The maturity of generation methodologies has reached significant acceptance. This allows us to focus on addressing the study of the lack of adaptability to the high dynamics of the changes in requirements of this type of projects. Data Science and Natural Language Processing allow us to integrate areas of knowledge and provide tools to solve this problem. A methodological model is proposed to partially automate the stages of generation of Data Warehouse instances based on requirements. en
dc.format.extent 1-10 es
dc.language en es
dc.subject Science es
dc.subject Data Warehouse es
dc.subject Natural Language es
dc.subject Business es
dc.subject Intelligence es
dc.title Automatic generation of Data Warehouse Instances from Requirements en
dc.type Objeto de conferencia es
sedici.identifier.uri http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-01.pdf es
sedici.identifier.issn 2683-8966 es
sedici.creator.person Pizarro, Carlos es
sedici.creator.person Novillo Rangone, Gabriel es
sedici.creator.person Montejano, Germán Antonio es
sedici.creator.person Garis, Ana Gabriela es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
sedici.date.exposure 2021-10
sedici.relation.event VII Simposio Argentino de Ciencia de Datos y GRANdes DAtos (AGRANDA 2021) - JAIIO 50 (Modalidad virtual) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)