Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/235574
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Decision Trees as a Tool for Data Analysis. Elections in Barcelona: A Case Study |
Autor: | Armengol, Eva CSIC ORCID ; García-Cerdaña, Àngel CSIC ORCID | Palabras clave: | Inductive learning methods Decision trees Analysis of electoral results |
Fecha de publicación: | 2-sep-2020 | Editor: | Springer Nature | Citación: | Armengol E., García-Cerdaña À. (2020) Decision Trees as a Tool for Data Analysis. Elections in Barcelona: A Case Study. In: Torra V., Narukawa Y., Nin J., Agell N. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2020. Lecture Notes in Computer Science, vol 12256. Springer, Cham. | Resumen: | Decision trees are inductive learning methods that construct a domain model easy to understand from domain experts. For this reason, we claim that the description of a given data set using decision trees is an easy way to both discover patterns and compare the classes that form the domain at hand. It is also an easy way to compare different models of the same domain. In the current paper, we have used decision trees to analyze the vote of the Barcelona citizens in several electoral convocations. Thus, the comparison of the models we have obtained has let us know that the percentage of people with a university degree is the most important aspect to separe the neighbourhoods of Barcelona according to the most voted party in a neighbourhood. We also show that in some neighbourhoods has always won the same party independently of the kind of convocation (local or general). | URI: | http://hdl.handle.net/10261/235574 | DOI: | https://doi.org/10.1007/978-3-030-57524-3_22 | Identificadores: | doi: https://doi.org/10.1007/978-3-030-57524-3_22 isbn: 978-3-030-57523-6 |
Aparece en las colecciones: | (IIIA) Comunicaciones congresos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Decision Trees as a Tool for Data Analysis.pdf | 1,6 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
68
checked on 17-abr-2024
Download(s)
422
checked on 17-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.