Inteligência artificial aplicada a pequenas empresas: o uso da engenharia automática de recursos e do aprendizado de máquina para um planejamento mais preciso

Autores

DOI:

https://doi.org/10.11606/issn.1982-6486.rco.2020.171481

Palavras-chave:

Inteligência artificial, Engenharia automática de recursos, Aprendizado de máquina, Pequenas empresas, Empresas locais

Resumo

O objetivo deste estudo é desenvolver um modelo preditivo que aumente a precisão do planejamento operacional de negócios usando dados de uma pequena empresa. A partir de técnicas de aprendizado de máquina (AM), são apresentadas estratégias de expansão, reamostragem e combinação que permitiram superar várias das limitações enfrentadas pelas pesquisas conduzidas até então. O estudo adotou uma nova técnica de engenharia de recursos que permitiu aumentar a precisão de um modelo preditivo, encontrando 10 novos recursos derivados dos originais, desenvolvidos automaticamente através das relações não-lineares encontradas entre eles. Por fim, foi criado um classificador com regras para prever, com alta precisão, a receita da pequena empresa. De acordo com os resultados apresentados, a abordagem proposta abre novas possibilidades para a pesquisa sobre a AM aplicada a pequenas e médias empresas.

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Publicado

2020-10-14

Como Citar

Nascimento, A. M. ., de Melo, V. V., Muller Queiroz, A. C., Brashear-Alejandro, T., & Meirelles, F. de S. (2020). Inteligência artificial aplicada a pequenas empresas: o uso da engenharia automática de recursos e do aprendizado de máquina para um planejamento mais preciso. Revista De Contabilidade E Organizações, 14, e171481. https://doi.org/10.11606/issn.1982-6486.rco.2020.171481

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