Diverse anomalous subset discovery via penalized intersection

Abstract

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to automated control for a physical system with generic forecasting models. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a discovery component that obtains a candidate anomalous subset of a dataset, a scoring component that computes a diversity score of the candidate anomalous subset relative to selected subsets of the dataset, and a selection component that selects the candidate anomalous subset based on the diversity score. Furthermore, the level of diversity between subsets can be controlled by a user. Moreover, records can be penalized to enable search space exploration and mitigate redundancy at the record level.

Dependencies are inferred from the claim text.