Efficient identification of data gaps in data sets for virtual sensors

Abstract

A computer-implemented method for determining a data set suitable for training and/or testing a virtual sensor is disclosed. The method includes (i) receiving first information, wherein the first information defines a non-empty first subset in a Cartesian product of value sets, wherein at least one value set comprises at least two values, and (ii) calculating second information, wherein the second information defines a non-empty second subset in a third subset of the Cartesian product, and the second subset is at least partially or entirely contained in the complement of the first subset in the third subset, wherein the third subset is a real subset of the Cartesian product or the Cartesian product.

Dependencies are inferred from the claim text.