MODELING THE DATABASE ARCHITECTURE FOR PUBLIC TRANSPORTATION BIG DATA WITH A FOCUS ON DATA INTEGRATION-ETL (Atena Editora)

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MetadadosDescriçãoIdioma
Autor(es): dc.contributor.authorMESQUITA, KAIO GEFFERSON DE ALMEIDA-
Autor(es): dc.contributor.authorROCHA, KLEBERSON LEANDRO DA-
Autor(es): dc.contributor.authorNOBRE, GABRIEL AMORIM RABELO-
Data de aceite: dc.date.accessioned2024-02-26T06:36:17Z-
Data de disponibilização: dc.date.available2024-02-26T06:36:17Z-
Data de envio: dc.date.issued2024-02-23-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/742469-
Resumo: dc.description.abstractThe process of analyzing and planning public transport systems has some aspects that must be treated as an integrated part, from understanding the phenomenon to analyzing the data that represents it. There is a gap in the work that proposes to use massive transport data, regarding the inadequate treatment of the data or lack of structuring to store it. The objective of this work is to present a method for structuring a public transport database, using transformation, mining and natural language processing techniques. The method is divided into: Contextualization; Cleaning and transformation; and Loading and evaluation. The results demonstrate that data produced by humans presents more inconsistency than data generated by machines. The GPS and Ticketing bases, in addition to being integrated, achieved a compatibility and treatment rate above the usual average of 65%.pt_BR
Idioma: dc.language.isoenpt_BR
Palavras-chave: dc.subjectPUBLIC TRANSPORTpt_BR
Título: dc.titleMODELING THE DATABASE ARCHITECTURE FOR PUBLIC TRANSPORTATION BIG DATA WITH A FOCUS ON DATA INTEGRATION-ETL (Atena Editora)pt_BR
Tipo de arquivo: dc.typelivro digitalpt_BR
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