Invention Grant
- Patent Title: System and method for anomaly detection in dynamically evolving data using random neural network decomposition
-
Application No.: US16458096Application Date: 2019-06-30
-
Publication No.: US10692004B1Publication Date: 2020-06-23
- Inventor: David Segev
- Applicant: ThetaRay Ltd
- Applicant Address: IL Hod HaSharon
- Assignee: ThetaRay Ltd.
- Current Assignee: ThetaRay Ltd.
- Current Assignee Address: IL Hod HaSharon
- Agency: Nathan & Associates
- Agent Menachem Nathan
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F11/07

Abstract:
Detection systems, methods and computer program products comprising a non-transitory tangible storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method for anomaly detection, a detected anomaly being indicative of an undesirable event. A detection system comprises a computer and an anomaly detection engine executable by the computer, the anomaly detection engine configured to perform a method comprising receiving data comprising a plurality m of multidimensional data points (MDDPs), each data point having n features, constructing a dictionary D based on the received data, embedding dictionary D into a lower dimension embedded space and classifying, based in the lower dimension embedded space, a MDDP as an anomaly or as normal.
Information query