Clustering and outlier detection in anomaly and causation detection for computing environments
US11621969B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2017 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Jun 14, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0876
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Clustering and outlier detection in anomaly and causation detection for computing environments is disclosed. An example method includes receiving an input stream having data instances, each of the data instances having multi-dimensional attribute sets, identifying any of outliers and singularities in the data instances, extracting the outliers and singularities, grouping two or more of the data instances into one or more groups based on correspondence between the multi-dimensional attribute sets and a clustering type, and displaying the grouped data instances that are not extracted in a plurality of clustering maps on an interactive graphical user interface, wherein each of the plurality of clustering maps is based on a unique clustering type.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.