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Dataset: improving automatic data extraction from financial statements with clustering analysis
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| dc.contributor.author | Naldi, Murilo | |
| dc.contributor.author | Ferraz, Victor | |
| dc.contributor.author | Olivato, Gabriel | |
| dc.contributor.author | Magollo, Igor | |
| dc.date.accessioned | 2021-01-15T14:27:26Z | |
| dc.date.accessioned | 2021-11-08T20:38:15Z | |
| dc.date.available | 2021-01-15T14:27:26Z | |
| dc.date.available | 2021-11-08T20:38:15Z | |
| dc.date.issued | 2021-01-09 | |
| dc.identifier.citation | NALDI, Murilo; FERRAZ, Victor; OLIVATO, Gabriel; MAGOLLO, Igor. Dataset: improving automatic data extraction from financial statements with clustering analysis. Repositório de Dados da UFSCar, 2021. Dataset. Disponível em: https://repositorio.ufscar.br/handle/ufscar/13699. | * |
| dc.identifier.uri | https://repositorio.ufscar.br/handle/ufscar/13699 | |
| dc.description | Conjunto de dados de contas e saldos contábeis já processados (e, portanto, modificados para manutenção de privacidade) cedidos pelo Serasa Experian para Innovation Hub. Detalhes da sua obtenção e uso estão presentes no artigo original: V. Ferraz, G. Olivato, I. Magollo, and M. C. Naldi. Improving automatic data extraction fromfinancial statements with clustering analysis. In8th Symposium on Knowledge Discovery, Miningand Learning, KDMiLe 2020, volume 1, pages 4–11, 2020. O artigo está disponível em http://www2.sbc.org.br/bracis2020/kdmilePapers.html | por |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | por |
| dc.language.iso | por | por |
| dc.publisher | Universidade Federal de São Carlos | por |
| dc.relation.uri | http://www2.sbc.org.br/bracis2020/kdmilePapers.html | por |
| dc.rights | Attribution 3.0 Brazil | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/br/ | * |
| dc.subject | Agrupamento de dados | por |
| dc.subject | Extração de características | por |
| dc.subject | Innnovation hub | eng |
| dc.title | Dataset: improving automatic data extraction from financial statements with clustering analysis | eng |
| dc.type | Dataset | por |
| dc.description.sponsorshipId | 2019/09817-6 | por |
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Except where otherwise noted, this item's license is described as Attribution 3.0 Brazil