APRENDIZADO DE MÁQUINA NA ÁREA DE GESTÃO: UMA REVISÃO BIBLIOGRÁFICA SOBRE O USO DESTA FERRAMENTA NOS ARTIGOS PUBLICADOS NA BIBLIOTECA ELETRÔNICA SPELL

Abstract

In recent years, artificial intelligence (AI) has become a very important tool in several areas of knowledge, including management. One of the areas of this topic that is also on the rise is machine learning, as it has proven to be efficient in carrying out future predictive analyzes for specific events and, therefore, facilitating decision making. Therefore, the objective of this work was to carry out a bibliographical review of the articles available in the electronic collection of SPELL (Scientific Periodicals Electronic Library) to understand how machine learning is being applied in the area of ​​management. The most common machine learning methods, such as Random Forests, Neural Networks, clustering and k-Nearest Neighbors, have proven to be effective in several applications. The results indicate that machine learning is frequently used for data analysis and trend prediction, in addition to presenting machine learning methods that are effective in various applications.