Abstract: Systems and methods include determination of a plurality of instances of a master configuration file, association of each of the plurality of instances with a first respective record of a first database table and with a second respective record of a second database table to determine a plurality of composite data records, determination of correlated features of the master configuration file, the first database table and the second database table based on the plurality of composite data records, and training of a machine learning model based on data of the correlated features of the master configuration file, the first database table and the second database table.

Abstract: Systems and methods for event-triggered analysis for high fidelity simulation. The method may comprise collecting event data produced by one or more event monitors in operational relationship with one or more elements of an event-producing system, wherein at least one of the one or more elements generates a plurality of events. The event data may be clustered into one or more groups, according to one or more event attributes. The event data may be selectively transmittable to one or more subscribers, by way of the one or more subscribers subscribing to one or more channels associated with the one or more groups. A publication mechanism may be implemented to classify the clustered event data into the one or more channels, the event data associated with at least one attribute being classified for transmission over at least one of the one or more channels.

Abstract: Systems and methods for event-triggered analysis for high fidelity simulation. The method may comprise collecting event data produced by one or more event monitors in operational relationship with one or more elements of an event-producing system, wherein at least one of the one or more elements generates a plurality of events. The event data may be clustered into one or more groups, according to one or more event attributes. The event data may be selectively transmittable to one or more subscribers, by way of the one or more subscribers subscribing to one or more channels associated with the one or more groups. A publication mechanism may be implemented to classify the clustered event data into the one or more channels, the event data associated with at least one attribute being classified for transmission over at least one of the one or more channels.