Intelligent clustering systems and methods useful for domain protection
US11636161B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 16, 2019 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Nov 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An intelligent clustering system has a dual-mode clustering engine for mass-processing and stream-processing. A tree data model is utilized to describe heterogenous data elements in an accurate and uniform way and to calculate a tree distance between each data element and a cluster representative. The clustering engine performs element clustering, through sequential or parallel stages, to cluster the data elements based at least in part on calculated tree distances and parameter values reflecting user-provided domain knowledge on a given objective. The initial clusters thus generated are fine-tuned by undergoing an iterative self-tuning process, which continues when new data is streamed from data source(s). The clustering engine incorporates stage-specific domain knowledge through stage-specific configurations. This hybrid approach combines strengths of user domain knowledge and machine learning power. Optimized clusters can be used by a prediction engine to increase prediction performance and/or by a network security specialist to identify hidden patterns.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.