Tree rotation in random classification forests to improve efficacy
US10284585B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2016 |
| Grant date | May 7, 2019 |
| Priority date | — |
| Expiry date | Jan 11, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/08
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for optimizing computer detection of malware using pattern recognition by refreshing random classification forests are described. In one embodiment, one or more selected trees of a random forest on a computing system may be replaced by one or more new trees. As new categorized data becomes available, one or more new trees may be generated using the new categorized data. Once the one or more new trees are available, the performance of the one or more new trees may be compared to the performance of the trees in the current random forest. Based on this comparison, one or more trees of the random forest may be selected to be replaced by one or more of the new trees.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.