Requirements engineering and data visualization

Detalhes bibliográficos
Autor(a) principal: Chen, Bowen
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/140139
Resumo: The present work explores the application of Machine Learning in a Non-Governmental Organization (NGO) -as proof of the benefits of extending Artificial Intelligence to non-profits -to support fundraising actions, by identifying donors’ similarities and churn probability. Requirements engineering is the very first step of the development of a machine learning project. It is a systematical method to avoid many possible problems with early intervention. As the requirements engineering is managed and supervised, the data visualization, which usually as an outcome, can meet the requirements more accurately.
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spelling Requirements engineering and data visualizationBusiness analyticsBusiness and data analyticsData visualizationRequirements engineeringRequirementsDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe present work explores the application of Machine Learning in a Non-Governmental Organization (NGO) -as proof of the benefits of extending Artificial Intelligence to non-profits -to support fundraising actions, by identifying donors’ similarities and churn probability. Requirements engineering is the very first step of the development of a machine learning project. It is a systematical method to avoid many possible problems with early intervention. As the requirements engineering is managed and supervised, the data visualization, which usually as an outcome, can meet the requirements more accurately.Han, QiweiRUNChen, Bowen2022-06-17T11:05:45Z2022-01-202021-12-142022-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/140139TID:202972046enginfo: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:RCAAP2024-03-11T05:17:12Zoai:run.unl.pt:10362/140139Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:49:34.710565Repositório 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 Requirements engineering and data visualization
title Requirements engineering and data visualization
spellingShingle Requirements engineering and data visualization
Chen, Bowen
Business analytics
Business and data analytics
Data visualization
Requirements engineering
Requirements
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Requirements engineering and data visualization
title_full Requirements engineering and data visualization
title_fullStr Requirements engineering and data visualization
title_full_unstemmed Requirements engineering and data visualization
title_sort Requirements engineering and data visualization
author Chen, Bowen
author_facet Chen, Bowen
author_role author
dc.contributor.none.fl_str_mv Han, Qiwei
RUN
dc.contributor.author.fl_str_mv Chen, Bowen
dc.subject.por.fl_str_mv Business analytics
Business and data analytics
Data visualization
Requirements engineering
Requirements
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Business analytics
Business and data analytics
Data visualization
Requirements engineering
Requirements
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The present work explores the application of Machine Learning in a Non-Governmental Organization (NGO) -as proof of the benefits of extending Artificial Intelligence to non-profits -to support fundraising actions, by identifying donors’ similarities and churn probability. Requirements engineering is the very first step of the development of a machine learning project. It is a systematical method to avoid many possible problems with early intervention. As the requirements engineering is managed and supervised, the data visualization, which usually as an outcome, can meet the requirements more accurately.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-14
2022-06-17T11:05:45Z
2022-01-20
2022-01-20T00:00:00Z
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/10362/140139
TID:202972046
url http://hdl.handle.net/10362/140139
identifier_str_mv TID:202972046
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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