Systems and methods for identifying anomalous data in large structured data sets and querying the data sets
US9965524B2 · kind B2 · utility
1Cited by
102References
19Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2014 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Sep 21, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04B17/00
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
The technology disclosed relates to automatic generation of tuples from a record set for outlier analysis. Applying this new technology, user need not specify which 1-tuples to combine into n-tuples. The tuples are generated from structured records organized into features (that also could be fields, objects or attributes.) Tuples are generated from combinations of feature values in the records. Thresholding is applied to manage the number of tuples generated. The technology disclosed further relates to indexing and searching high dimensional tuple spaces in a computer-implemented system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.