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

• Autor(a) principal: Nascimento, Alexandre Moreira
• Data de Publicação: 2020
• Outros Autores: de Melo, Vinicius Veloso, Muller Queiroz, Anna Carolina, Brashear-Alejandro, Thomas, Meirelles, Fernando de Souza
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Revista de contabilidade e organizações
• Texto Completo: https://www.revistas.usp.br/rco/article/view/171481
• topic: Inteligência artificial; Engenharia automática de recursos; Aprendizado de máquina; Pequenas empresas; Empresas locais; Inteligencia artificial, ingeniería automática de características, aprendizaje automático, pequeñas empresas, negocios locales; Artificial intelligence; Automatic feature engineering; Machine learning; Small business; Local business

The purpose of this study is to develop a predictive model that increases the accuracy of business operational planning using data from a small business. By using Machine Learning (ML) techniques feature expansion, resampling, and combination techniques, it was possible to address several existing limitations in the available research. Then, the use of the novel technique of feature engineering allowed us to increase the accuracy of the model by finding 10 new features derived from the original ones and constructed automatically through the nonlinear relationships found between them. Finally, we built a rule-based classifier to predict the store's revenue with high accuracy. The results show the proposed approach open new possibilities for ML research applied to small and medium businesses.