METHOD AND SYSTEM FOR AUTOMATICALLY BUILDING INTELLIGENT REASONING MODELS BASED ON BAYESIAN NETWORKS USING RELATIONAL DATABASES

摘要

Method and system of building a reasoning model using relational databases is provided. The method includes identifying data objects in relational databases; determining dependency relationships between the data objects; translating the data objects into nodes of a Bayesian network; and automatically translating the dependency relationships into a graphical structure of a Bayesian network. The system includes at least one server for storing data of a system having numerous interconnected parts; monitoring agents for monitoring the data of the numerous interconnected parts stored in the system; an events log for storing any event observed by the monitoring agents; and relational databases for storing data objects, the data objects correspond to the data of the numerous interconnected parts.