Invention Grant
- Patent Title: Utilizing machine learning models, predictive analytics, and data mining to identify a vehicle insurance fraud ring
-
Application No.: US16986608Application Date: 2020-08-06
-
Publication No.: US11562373B2Publication Date: 2023-01-24
- Inventor: Subhashini Lakshminarayanan , Gopali Raval Contractor , Shantanu Ss
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F40/00 ; G06N3/04 ; G06N3/08 ; G06Q10/00 ; G06Q10/10 ; G06Q30/02 ; G06Q40/08 ; G06Q50/00 ; G06Q50/26 ; G06F40/40

Abstract:
A device may consolidate the input data associated with vehicle insurance claims to generate processed input data. The device may process claims data, treatment data, and repair shop data to resolve ambiguities in the processed input data and to generate resolved data. The device may process the resolved data to generate related data identifying relations between persons and vehicle accidents. The device may process notes of claims adjusters and vehicle accident descriptions to extract feature data identifying features. The device may process the feature data to determine contradiction data identifying contradictions in the feature data. The device may process weather data, location data, and telematics data to determine weather conditions and locations associated with the accidents. The device may process the related data, the contradiction data, the weather conditions, and the locations to generate a knowledge graph. The device may identify a fraud ring based on the knowledge graph.
Information query