Abstract: Systems and techniques are provided for electronic payment network security. Payment data including an origin and a destination for a payment in an electronic payment network may be received. A route of the payment in the electronic payment network may be estimated based on the origin and the destination. The estimated route of the payment in the electronic payment network may be input to a neural network. Fraud probabilities may be determined using the neural network. A fraud probability may include a value indicating a probability of fraud in the payment in the electronic payment network.

Abstract: Systems and techniques are provided for electronic payment network security. Payment data including an origin and a destination for a payment in an electronic payment network may be received. A route of the payment in the electronic payment network may be estimated based on the origin and the destination. The estimated route of the payment in the electronic payment network may be input to a neural network. Fraud probabilities may be determined using the neural network. A fraud probability may include a value indicating a probability of fraud in the payment in the electronic payment network.

Abstract: Systems and techniques are provided for electronic payment network security. Payment data including an origin and a destination for a payment in an electronic payment network may be received. A route of the payment in the electronic payment network may be estimated based on the origin and the destination. The estimated route of the payment in the electronic payment network may be input to a neural network. Fraud probabilities may be determined using the neural network. A fraud probability may include a value indicating a probability of fraud in the payment in the electronic payment network.

Abstract: Systems and techniques are provided for electronic payment network security. Payment data including an origin and a destination for a payment in an electronic payment network may be received. A route of the payment in the electronic payment network may be estimated based on the origin and the destination. The estimated route of the payment in the electronic payment network may be input to a neural network. Fraud probabilities may be determined using the neural network. A fraud probability may include a value indicating a probability of fraud in the payment in the electronic payment network.

Abstract: Systems and techniques are provided for electronic payment network security. Payment data including an origin and a destination for a payment in an electronic payment network may be received. A route of the payment in the electronic payment network may be estimated based on the origin and the destination. The estimated route of the payment in the electronic payment network may be input to a neural network. Fraud probabilities may be determined using the neural network. A fraud probability may include a value indicating a probability of fraud in the payment in the electronic payment network.

Abstract: In certain aspects, the invention features a system that includes a number of grid-cluster schedulers, wherein each grid-cluster scheduler has software in communication with a number of computing resources, wherein each of the computing resources has an availability, and wherein the grid-cluster scheduler is configured to obtain a quantity of said computing resources as well as the availability and to allocate work for a client application to one or more of the computing resources based on the quantity and availability of the computing resources. In such aspects, the system further includes a meta-scheduler in communication with the grid-cluster schedulers, wherein the meta-scheduler is configured to direct work dynamically for one or more client applications to at least one of the grid-cluster schedulers based at least in part on data from each of the grid-cluster schedulers.