System and method for data classification using machine learning during archiving
US12314219B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 26, 2018 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Jun 12, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods for data archiving using machine learning techniques. The system collects statistical information and event data and processes them using machine learning techniques to classify data and/or predict data access demands. The system receives statistical information related to user access of a plurality of files, which can effectively “train” the system to archive data that is not needed at a certain moment and extract it at other moments. The system identifies, using a machine learning module, a pattern of access in the plurality of files based on the received statistical information. The system modifies, using the identified pattern of access, a threshold value related to file access, and assigns a set of files from the plurality of files an access classification based on the modified threshold value. The system migrates the set of files between hot and cold data areas based on the assigned access classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.