Abstract: An embodiment of the invention comprises, providing an initial object graph to a database, the initial object graph being generated by applying a set of rules to resources included in a resource set at a specified time, or by revising a previous object graph at the previous time, the resource set at the specified time comprising an initial resource set. The method includes providing the initial object graph to a working memory, maintained in separation from the database; discovering a changed fact associated with one of the resources of the initial resource set; and upon discovering the changed fact, determining modifications required by the changed fact to the initial object graph. If modifications are required, the initial object graph is revised in the working memory to include such modifications. The same revisions are then made to the initial object graph in the system database.

Abstract: An embodiment of the invention comprises, providing an initial object graph to a database, the initial object graph being generated by applying a set of rules to resources included in a resource set at a specified time, or by revising a previous object graph at the previous time, the resource set at the specified time comprising an initial resource set. The method includes providing the initial object graph to a working memory, maintained in separation from the database; discovering a changed fact associated with one of the resources of the initial resource set; and upon discovering the changed fact, determining modifications required by the changed fact to the initial object graph. If modifications are required, the initial object graph is revised in the working memory to include such modifications. The same revisions are then made to the initial object graph in the system database.

Abstract: According to the principles of the invention, a fraud detection system receives data relating to telecommunications activity. Event generators generate events from the received data, with each event having a weight corresponding to an increased or decreased likelihood of fraud. The aggregated events for a subject (a subscriber or an account) determine a score for the subject, which is used to prioritize the subject in an investigation queue. Human analysts are assigned to open investigations on the investigation queue according to the priority of subjects. In this manner, investigation resources can be applied more effectively to high-risk subscribers and events.

Abstract: A fraud detection system receives data relating to telecommunications activity. Event generators generate events from the received data, with each event having a weight corresponding to an increased or decreased likelihood of fraud. The aggregated events for a subject (a subscriber or an account) determine a score for the subject, which is used to prioritize the subject in an investigation queue. Human analysts are assigned to open investigations on the investigation queue according to the priority of subjects. In this manner, investigation resources can be applied more effectively to high-risk subscribers and events.