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http://hdl.handle.net/10609/83566
Title: | Influence of imbalanced datasets in the induction of Full Bayesian Classifiers |
Author: | Morán Jiménez, Daniel |
Tutor: | Solanas, Agusti |
Abstract: | This project consists in three main tasks: first, an analysis of the current state of the art in technologies for dealing with class imbalance problems in machine learning algorithms. Second, the analysis of how this problem actually affects a particular class of statistical models, the Bayesian Classifiers, proposing solutions to the particular problems found. And third, to implement a Bayesian Classifier and develop a series of experiments that would support the assertions of the analysis, and shed more light on how this problem can be dealt with. |
Keywords: | Bayesian networks machine learning imbalance |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 15-Jul-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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dmoranjiTFM0718memory.pdf | Memory of TFM | 6,29 MB | Adobe PDF | View/Open |
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