Feature Engineering: Techniques and Applications

Detalhes bibliográficos
Autor(a) principal: Teixeira, Mariana
Data de Publicação: 2023
Outros Autores: Cavique, Luís
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.34627/rcc.v18i0.295
Resumo: Machine Learning is a rising concept in today's society. In the past decade, ML-based systems have become part of people's daily routines, and their usage has been disseminated through diverse sectors. This evolution is supported by the exponential increase in data created worldwide. Feature Engineering is a critical process focused on transforming data into suitable inputs for Machine Learning algorithms. This work explores the Feature Engineering process by developing a baseline for its implementation. Hence, a pipeline of Feature Engineering techniques and their taxonomy is proposed, along with a set of R scripts to implement. The validity of the code is then demonstrated through its application to a real-world dataset.
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spelling Feature Engineering: Techniques and ApplicationsFeature Engineering: Técnicas e AplicaçõesMachine Learning is a rising concept in today's society. In the past decade, ML-based systems have become part of people's daily routines, and their usage has been disseminated through diverse sectors. This evolution is supported by the exponential increase in data created worldwide. Feature Engineering is a critical process focused on transforming data into suitable inputs for Machine Learning algorithms. This work explores the Feature Engineering process by developing a baseline for its implementation. Hence, a pipeline of Feature Engineering techniques and their taxonomy is proposed, along with a set of R scripts to implement. The validity of the code is then demonstrated through its application to a real-world dataset.Machine Learning é um conceito em crescente evolução na sociedade atual. Na última década, os sistemas baseados em ML tornaram-se parte do quotidiano da população e a sua aplicação tem vindo a disseminar-se por diversos setores. Este crescimento é suportado pelo aumento exponencial da quantidade de dados gerados a nível mundial. Feature Engineering surge, assim, como um processo chave que permite transformar dados em inputs adequados para os algoritmos de Machine Learning. O presente trabalho pretende explorar o processo de Feature Engineering, com vista a desenvolver uma base de suporte à sua implementação. Por conseguinte, é proposta uma pipeline de técnicas de Feature Engineering em paralelo com a sua taxonomia, juntamente com um conjunto de scripts R, para as implementar. A validade do código é, posteriormente, demonstrada através da sua aplicação a um conjunto de dados reais.Universidade Aberta2023-12-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.34627/rcc.v18i0.295https://doi.org/10.34627/rcc.v18i0.295Revista de Ciências da Computação; v. 18 (2023); 43-542182-18011646-633010.34627/rcc.v18i0reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://journals.uab.pt/index.php/rcc/article/view/295https://journals.uab.pt/index.php/rcc/article/view/295/251Direitos de Autor (c) 2023 Universidade Abertahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTeixeira, MarianaCavique, Luís2023-12-22T06:31:12Zoai:ojs2.journals.uab.pt:article/295Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:55:34.515065Repositório 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 Feature Engineering: Techniques and Applications
Feature Engineering: Técnicas e Aplicações
title Feature Engineering: Techniques and Applications
spellingShingle Feature Engineering: Techniques and Applications
Teixeira, Mariana
title_short Feature Engineering: Techniques and Applications
title_full Feature Engineering: Techniques and Applications
title_fullStr Feature Engineering: Techniques and Applications
title_full_unstemmed Feature Engineering: Techniques and Applications
title_sort Feature Engineering: Techniques and Applications
author Teixeira, Mariana
author_facet Teixeira, Mariana
Cavique, Luís
author_role author
author2 Cavique, Luís
author2_role author
dc.contributor.author.fl_str_mv Teixeira, Mariana
Cavique, Luís
description Machine Learning is a rising concept in today's society. In the past decade, ML-based systems have become part of people's daily routines, and their usage has been disseminated through diverse sectors. This evolution is supported by the exponential increase in data created worldwide. Feature Engineering is a critical process focused on transforming data into suitable inputs for Machine Learning algorithms. This work explores the Feature Engineering process by developing a baseline for its implementation. Hence, a pipeline of Feature Engineering techniques and their taxonomy is proposed, along with a set of R scripts to implement. The validity of the code is then demonstrated through its application to a real-world dataset.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-18
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.34627/rcc.v18i0.295
https://doi.org/10.34627/rcc.v18i0.295
url https://doi.org/10.34627/rcc.v18i0.295
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://journals.uab.pt/index.php/rcc/article/view/295
https://journals.uab.pt/index.php/rcc/article/view/295/251
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2023 Universidade Aberta
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos de Autor (c) 2023 Universidade Aberta
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Aberta
publisher.none.fl_str_mv Universidade Aberta
dc.source.none.fl_str_mv Revista de Ciências da Computação; v. 18 (2023); 43-54
2182-1801
1646-6330
10.34627/rcc.v18i0
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)
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
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