Abstract: An asset attribution model attributes assets to organizations according to metadata about the assets retrieved by a network scanner and other metadata in association with the assets that is retrieved and stored in a repository. A data slice rules interface applies logical rules to query the repository to retrieve metadata for assets satisfying each logical rule to generate data slices. Each logical rule is constructed so that assets satisfying the rule have attributions to known organizations. The asset attribution model is evaluated for accuracy in predicting known attributed organizations along each data slice. Depending on the resulting accuracies, the asset attribution model either updates its architecture and is retrained or is deployed for asset attribution.

Abstract: Automatic device for statistical analysis of an object (1), comprising (a) a microscope (4) for projecting the image of an elementary part of the object (1) onto a photoelectric receiver (5), the object (1) and the receiver (5) being displaceable relative to one another, continuously, at constant speed, so that the images of different elementary parts of the object (1) are projected continuously onto the receiver (5); (b) an electronic circuit (7) for continuously digitizing each of the images, followed by a single computer (8) for continuously storing and then for continuously processing these images, making it possible to characterize the latter by a limited number of parameters; and (c) a microprocessor (10) for storage of these parameters and then for statistical calculations by means of all the stored parameters for an average characterization of the object (1) under study.