18466491. CLUSTERING-BASED DEVIATION PATTERN RECOGNITION (Capital One Services, LLC)
Contents
CLUSTERING-BASED DEVIATION PATTERN RECOGNITION
Organization Name
Inventor(s)
Komal Krishna Pandamaneti of Frisco TX (US)
Lewis C. Wong of Dallas TX (US)
Dinesh Vajala of Plano TX (US)
Sunil Lawrence of Little Elm TX (US)
Jason E. Lines of Prosper TX (US)
Stephen Michael Lipner-bernstein of Frisco TX (US)
Sriram Ganta of McKinney TX (US)
Siva R. Vegesana of Frisco TX (US)
CLUSTERING-BASED DEVIATION PATTERN RECOGNITION
This abstract first appeared for US patent application 18466491 titled 'CLUSTERING-BASED DEVIATION PATTERN RECOGNITION
Original Abstract Submitted
In some implementations, a device may obtain first data associated with one or more accounts. The device may process the first data to obtain clustering information associated with the first data. The device may cluster the first data into one or more clusters based on the clustering information. The device may identify, via a second machine learning model, one or more deviation patterns associated with a portion of the first data that is included in a cluster of the one or more clusters. The device may determine, for the cluster, one or more operations to be performed to mitigate deviations based on the one or more deviation patterns. The device may perform an action, that is based on the one or more operations, associated with second data grouped into the cluster.
- Capital One Services, LLC
- Komal Krishna Pandamaneti of Frisco TX (US)
- Lewis C. Wong of Dallas TX (US)
- Dinesh Vajala of Plano TX (US)
- Sunil Lawrence of Little Elm TX (US)
- Jason E. Lines of Prosper TX (US)
- Stephen Michael Lipner-bernstein of Frisco TX (US)
- Sriram Ganta of McKinney TX (US)
- Siva R. Vegesana of Frisco TX (US)
- G06F18/2325
- CPC G06F18/2325