Hierarchical classification of transaction data
US11379501B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 9, 2017 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Oct 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems and computer program products implementing hierarchical classification techniques are disclosed. A hierarchical classification system receives training data including labeled transaction records. The system determines tag sequences from the training data. The system clusters the tag sequences into clusters. The system determines a cluster-level classifier that is trained to predict a cluster for an input transaction record. The system determines a respective cluster-specific classifier for each cluster. The system trains the cluster-specific classifier to predict a label of entity of interest for an input transaction record, given a particular cluster. Upon receiving a test transaction record, the system first applies the cluster-level classifier to determine a particular cluster for the test transaction record, and then determines a label of entity of interest of the test transaction record by applying a cluster-specific classifier of that particular cluster.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.