Invention Grant
- Patent Title: Data forecasting based on machine learning analysis of data access statistics
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Application No.: US16043241Application Date: 2018-07-24
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Publication No.: US11120366B2Publication Date: 2021-09-14
- Inventor: Patrick Dantressangle , Simon Laws , David George Radley
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Peter K. Suchecki
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F17/18 ; G06T11/20 ; H04L29/08

Abstract:
Methods and systems may provide for technology to conduct a machine learning analysis of data access statistics with respect to a plurality of separate datasets and determine a time-dependent access pattern based on the machine learning analysis, wherein the time-dependent access pattern includes an expert access trend, a curation access trend and a knowledgebase access trend. The technology may also generate one or more data management recommendations with response to the plurality of separate datasets based on the time-dependent access pattern.
Public/Granted literature
- US20200034330A1 DATA FORECASTING BASED ON MACHINE LEARNING ANALYSIS OF DATA ACCESS STATISTICS Public/Granted day:2020-01-30
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