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Improvement of the performance of decision trees in the prediction of academic results
dc.contributor | Talavera Méndez, Luis José |
dc.contributor.author | Paraira Serra, Marc |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.coverage.spatial | east=2.11563799999999; north=41.38479239999999; name=Zona Universitària - Escola T S d'Enginyeria, 08028 Barcelona, Espanya |
dc.date.accessioned | 2019-08-27T09:06:20Z |
dc.date.available | 2019-08-27T09:06:20Z |
dc.date.issued | 2019-07-16 |
dc.identifier.uri | http://hdl.handle.net/2117/167730 |
dc.description.abstract | Data mining is the process of finding relevant feedback from a set of data. This is done by looking for patterns of behavior that can give the information necessary to make predictions of how the sample, and in most cases new data, will behave. This work will treat this topic and use some of its techniques to make predictions on the performance of the students in ETSEIB. Despite the concept of data mining embraces a whole range of tools and methods, in this project, the only technique that is going to be used is the decision tree. This will be tested in different ways but the technique itself will not vary. For this project, a very commonly used method will be our guidance for the sequence of steps that should be followed. This is named CRISP-DM. It is no less than one of the reference models in data mining, which covers the process from the setting of the objectives to the validation of the model. For the development of this project several tools have been used. As it was decided that the programming language to be used would be Python, all the tools are prepared for this language or are somehow related to it. These tools and the reason to use Python will be explained in its own section of the project. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Data mining |
dc.subject.lcsh | Students--Rating of |
dc.title | Improvement of the performance of decision trees in the prediction of academic results |
dc.type | Bachelor thesis |
dc.subject.lemac | Mineria de dades |
dc.subject.lemac | Estudiants -- Avaluació |
dc.identifier.slug | ETSEIB-240.145953 |
dc.rights.access | Open Access |
dc.date.updated | 2019-07-16T05:22:39Z |
dc.audience.educationlevel | Grau |
dc.audience.mediator | Escola Tècnica Superior d'Enginyeria Industrial de Barcelona |
dc.audience.degree | GRAU EN ENGINYERIA EN TECNOLOGIES INDUSTRIALS (Pla 2010) |