Invention Grant
- Patent Title: Anomaly score adjustment across anomaly generators
-
Application No.: US16860313Application Date: 2020-04-28
-
Publication No.: US11586874B2Publication Date: 2023-02-21
- Inventor: Ming-Jung Seow , Gang Xu , Tao Yang , Wesley Kenneth Cobb
- Applicant: Intellective Ai, Inc.
- Applicant Address: US TX Dallas
- Assignee: Intellective Ai, Inc.
- Current Assignee: Intellective Ai, Inc.
- Current Assignee Address: US TX Dallas
- Agency: Cooley LLP
- Main IPC: G06N3/02
- IPC: G06N3/02

Abstract:
Techniques are disclosed for generating an anomaly score for a neuro-linguistic model of input data obtained from one or more sources. According to one embodiment, generating an anomaly score comprises receiving a score indicating how often a characteristic is observed in the input data. Upon receiving the score, comparing the score with an unusual score model to determine an unusualness score and comparing the unusualness score with an anomaly score model based on one or more unusual score models to generate the anomaly score indicating an overall unusualness for the input data.
Public/Granted literature
- US20200257956A1 ANOMALY SCORE ADJUSTMENT ACROSS ANOMALY GENERATORS Public/Granted day:2020-08-13
Information query