A segment analysis to understand the behavior of greenhouse gases

Detalhes bibliográficos
Autor(a) principal: Araújo, Carolina Oliveira
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/133846
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
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spelling A segment analysis to understand the behavior of greenhouse gasesGreenhouse GasesEmissionsTime SeriesClusteringDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsFor years I admired this statement, and it is safe to express this applied to my master thesis. This research is focused on understanding which countries characteristics influences the production of greenhouse gases throughout 1990 to 2017. The data used to produce the project consists on economic and environment related data. The methodology applied is based on Knowledge Discovery in Databases Process, with an emphasize on the step, Data Mining, where the approach used was unsupervised learning. Only after I started exploring research about time series clustering for greenhouse gases, it was when I realized probably this would not be the best approach for the main question. Nevertheless, I was determined to validate if this was not the case since, I firmly believe all approaches should be tested in order to understand which one is better suited to answer a research question.Henriques, Roberto André PereiraRUNAraújo, Carolina Oliveira2022-03-03T17:33:53Z2022-01-282022-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/133846TID:202966674enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:12:27Zoai:run.unl.pt:10362/133846Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:57.197281Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A segment analysis to understand the behavior of greenhouse gases
title A segment analysis to understand the behavior of greenhouse gases
spellingShingle A segment analysis to understand the behavior of greenhouse gases
Araújo, Carolina Oliveira
Greenhouse Gases
Emissions
Time Series
Clustering
title_short A segment analysis to understand the behavior of greenhouse gases
title_full A segment analysis to understand the behavior of greenhouse gases
title_fullStr A segment analysis to understand the behavior of greenhouse gases
title_full_unstemmed A segment analysis to understand the behavior of greenhouse gases
title_sort A segment analysis to understand the behavior of greenhouse gases
author Araújo, Carolina Oliveira
author_facet Araújo, Carolina Oliveira
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Araújo, Carolina Oliveira
dc.subject.por.fl_str_mv Greenhouse Gases
Emissions
Time Series
Clustering
topic Greenhouse Gases
Emissions
Time Series
Clustering
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
publishDate 2022
dc.date.none.fl_str_mv 2022-03-03T17:33:53Z
2022-01-28
2022-01-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/133846
TID:202966674
url http://hdl.handle.net/10362/133846
identifier_str_mv TID:202966674
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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