Insurance Claim Outlier Detection with Variant of Minimum Volume Ellipsoids

摘要

Data is received that includes a data set characterizing a plurality of insurance provider profiles and/or claims. Thereafter, a minimum volume ellipsoid is determined for the data set. Subsequently, at least one provider profile and/or claim is identified having at least one outlier variable based on a distance that the at least one provider profile and/or claim has relative to a center point of the minimum volume ellipsoid. Data is then provided (e.g., displayed, stored, loaded into memory, transmitted to a remote computing system, etc.) that characterizes the at least one provider profile and/or claim as likely being fraudulent or erroneous. In other variations, the minimum volume ellipsoid is determined using a different data set. Related apparatus, systems, techniques and articles are also described.