Abstract
The objective of this experimental research is to make a technical-scientific feasibility analysis of the use of Bayesian Networks to extract relevant information from consumers of mass products to train Deep Learning systems for predictive analyzes in the insurance market. The challenge is from sparse retailer information, associated with the need to preserve sensitive customer informati…