Literature review on Machine Learning techniques in bank fraud detection

• Autor(a) principal: Alvarado Zabala, Julio
• Data de Publicação: 2022
• Outros Autores: Martillo Alchundia, Ivette, Guzman Seraquive, Geomar
• Tipo de documento: Artigo
• Idioma: spa
• Título da fonte: Sapienza (Curitiba)
• Texto Completo: https://journals.sapienzaeditorial.com/index.php/SIJIS/article/view/257
• topic: Machine Learning, inteligência artificial, análise de dados, machine learning.; Machine Learning, artificial intelligence, data analysis, machine learning.; Machine Learning, inteligencia artificial, análisis de datos, aprendizaje automático.

Machine learning or machine learning is considered as a subarea in the field of computing and informatics, in addition to being closely linked to artificial intelligence; The objective of this technique is to make computers learn, being an agent that improves the experience; it has been very useful especially for the analysis of investigations and processes that generate large amounts of data; For this article, a documentary review is carried out on the state of the art of the main automatic learning methods, based on publications and articles from no more than two years ago, in order to know concepts, identify and understand the operation of the various Machine Learning techniques used to detect financial fraud.