Description: Entity-Relationship Modeling (ER) is a fundamental technique in the field of data management that allows for the graphical representation of relationships between different entities within a system. This methodology is based on identifying entities, attributes, and the relationships that exist between them, thus facilitating the understanding and organization of information. In the context of data analysis and artificial intelligence, ER modeling becomes a valuable tool as it allows for structuring data in a way that patterns and expected behaviors can be identified. By establishing a clear model of the relationships between data, deviations or anomalies that may indicate problems, fraud, or system failures can be detected. This technique not only helps visualize the structure of data but also provides a solid foundation for applying machine learning algorithms that seek to identify unusual behaviors. In summary, Entity-Relationship Modeling is essential for data organization and the effective implementation of artificial intelligence solutions in various applications, including anomaly detection.
