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Intelligent tool for visual data analysis

dc.contributor.advisorDíaz Agudo, Belén
dc.contributor.advisorRecio García, Juan Antonio
dc.contributor.authorOsés Grijalba, Jorge
dc.date.accessioned2023-06-17T15:01:59Z
dc.date.available2023-06-17T15:01:59Z
dc.date.issued2019
dc.degree.titleDoble grado en Ingeniería Informática y Matemáticas
dc.descriptionTrabajo de Fin de Grado, Universidad Complutense, Facultad de Informática, Departamento de Ingeniería del Software e Inteligencia Artificial, Curso 2018/2019
dc.description.abstractThis document reflects my Bachelor’s Thesis corresponding to the Double Degree in Mathematics and Computer Science, developed within the area of intelligent data analytics and ’Case Based Reasoning’. During the progress of the project, the principles applicable in any environment of data processing and the science behind it are explained generally and aimed to be usable in any kind of context by any user provided the right format of data. Nowadays, highly heterogeneous data collection and processing methods are employed in all industries, however the techniques employed to get useful information out of the data usually have a generalistic aim, and the work relevant to the field itself is often done manually. In this work we aim to provide an automated way to analyze information while taking into account information and techniques relevant to the field of the analysis. The objective of this Degree’s Final Project is the development of a prototype capable of carrying this analysis while being able to learn based on user input. As a Proof of Concept, we have included several medical domains with each one having developed specific methods and techniques for them. To serve as a base for this analysis, we have also developed a system for storing, loading and analyzing the information of the domain and the information provided by the user. This system will be the backbone of our architecture and enable the Case Based Reasoning analysis to function correctly in very different situations, providing the metrics and functions needed for every case. You can find the code and proofs of concept here.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.statusunpub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/56614
dc.identifier.urihttps://hdl.handle.net/20.500.14352/15216
dc.language.isoeng
dc.rightsAtribución-NoComercial 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.cdu004 (043.3)
dc.subject.keywordCBR
dc.subject.keywordData visualization
dc.subject.keywordReport
dc.subject.keywordIA
dc.subject.keywordArtificial intelligence
dc.subject.ucmInformática (Informática)
dc.subject.unesco1203.17 Informática
dc.titleIntelligent tool for visual data analysis
dc.typebachelor thesis
dspace.entity.typePublication
relation.isAdvisorOfPublication6e94b3e8-1cba-4505-9d17-a0c09a524300
relation.isAdvisorOfPublication.latestForDiscovery6e94b3e8-1cba-4505-9d17-a0c09a524300

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