Anomalous query identification using query clustering
US12235844B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2024 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Jan 22, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/285
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed relating to managing database queries. In some embodiments, a server system receives a query from a computer system and determines a set of aspects for the query, including at least a number of columns specified in the query and a computational cost of executing the query. The system generates a query vector based on the set of aspects determined for the query. The system then compares the query vector with a plurality of clusters, ones of the plurality of clusters comprising two or more previously generates query vectors generated based on aspects of queries previously received by the server system. Based on the comparing, specifically a distance between the query vector and the plurality of clusters of previously generated query vectors, the system classifies the query. Based on a classification of the query determined during the classifying, the system manages the query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.