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Title: Influence of imbalanced datasets in the induction of Full Bayesian Classifiers
Author: Morán Jiménez, Daniel
Tutor: Solanas Gómez, Agustí
Keywords: Bayesian networks
machine learning
Issue Date: 15-Jul-2018
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Appears in Collections:Bachelor thesis, research projects, etc.

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