Method and system for recognizing end-user transactions
US6925452B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 22, 2000 |
| Grant date | Aug 2, 2005 |
| Priority date | — |
| Expiry date | May 22, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system are described for end-user transaction recognition based on server data such as sequences of remote procedure calls (RPCs). The method may comprise machine-learning techniques for pattern recognition such as Bayesian classification, feature extraction mechanisms, and a dynamic-programming approach to segmentation of RPC sequences. The method preferably combines information-theoretic and machine-learning approaches. The system preferably includes a learning engine and an operation engine. A learning engine may comprise a data preparation subsystem (feature extraction) and a Bayes Net learning subsystem (model construction). The operation engine may comprise transaction segmentation and transaction classification subsystems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.