Abstract: A system and method for fraud detection may include (a) receiving, by a model based fraud detection unit, a plurality of images related to fraud attempts, (b) determining, by the unit, for each of the images, whether or not the image is related to a fraud attempt, (c) if a percentage of the images identified as related to fraud attempts is lower than a threshold, then automatically modifying at least one coefficient in the model, and repeating steps (a), (b) and (c) until a percentage of the images identified as related to fraud attempts is higher than the threshold.

Abstract: Disclosed are methods, circuits, devices, systems and associated computer executable code for estimating a presence of a subject at a given venue. A mobile device carried by a subject transmits time stamped location data to a location ambiguity resolution server. The location ambiguity resolution server receives time stamped location data from the device carried by the subject; retrieves a listing of venues in proximity with the location indicated by location data; scores each of one or more of the listed venues by applying a subject preference value; and applies heuristic based score weighting or filtration to the listed venues.