Abstract:
A computer-implemented fraud detection system comprises a processor and memory storing computer-readable instructions for causing a computer to perform a method for determining potentially fraudulent records. The method performed by the computer comprises executing a trial fraud detection strategy routine on historic records in a database, the trial detection strategy comprising multiple rules including at least one weighting factor. The method further includes calculating an efficiency of the trial fraud detection strategy based on the multiple rules and executing an iterative routine to optimize adjusting the at least one weighting factor. An adjusted fraud detection strategy that incorporates the adjusted weighting factor is set.
Abstract:
A client database manager can cause a memory of a client device on a client side of a network to store a first component, a second component, and a relationship value representing a dependent relationship between the first component and the second component. A client processing module can cause a processor to receive, after the storing, a request to process the first component at the client device. The client database manager can send to the server side of the network a request for an update of at least one of the first component or the second component. The client processing module can cause the processor to process at the client device, before receiving a response to the request for the update from the server side of the network, at least a portion of the first component and at least a portion of the second component based on the relationship value.