Artificial intelligence applied to small businesses: the use of automatic feature engineering and machine learning for more accurate planning

Revista de Contabilidade e Organizações

Fernando de Souza Meirelles¹  Thomas Brashear-Alejandro²  Alexandre MoreiraNascimento³  Anna Carolina Muller Queiroz³  Vinicius Veloso de Melo⁴ 

[1] Fundação Getúlio Vargas;Massachusetts University and Fundação Getúlio Vargas;Stanford University;The Wawanesa Mutual Insurance Company;

关键词: Artificial intelligence;    Automatic feature engineering;    Machine learning;    Small business;    Local business;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown