Statistical models for improving the performance of database operations
US7149649B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2002 |
| Grant date | Dec 12, 2006 |
| Priority date | — |
| Expiry date | Dec 12, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/2465
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for performing an automatic software-driven statistical evaluation of a large amount of data to be assigned to statistical variables in a database contained in at least one cluster. The method is characterized by using a statistical model to model an approximate description of a relative frequency of the state or states of the statistical variables and a statistical dependencies between the state or states, and then determining the approximate relative frequency of the state or states of the statistical variables and the approximate relative frequency belonging to a predetermined relative frequency of the state or states of the statistical variables and an expected value of the state or states of the statistical variables dependent thereon.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.