- 专利标题： Product configuration analysis and anomaly prediction using machine learning
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申请号： US17866764申请日： 2022-07-18
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公开(公告)号： US12124801B2公开(公告)日： 2024-10-22
- 发明人: Lisandro Ramos , David J. Linsey , Bijan Kumar Mohanty
- 申请人： Dell Products L.P.
- 申请人地址： US TX Round Rock
- 专利权人： Dell Products L.P.
- 当前专利权人： Dell Products L.P.
- 当前专利权人地址： US TX Round Rock
- 代理机构： Ryan, Mason & Lewis, LLP
- 主分类号： G06F40/20
- IPC分类号： G06F40/20 ; G06F40/279 ; G06N20/00 ; G06Q30/0601
摘要：
A method comprises receiving product selection data, wherein the product selection data characterizes at least one combination of at least two products. In the method, the product selection data is analyzed using one or more machine learning algorithms. The method further comprises predicting based, at least in part, on the analyzing, whether the at least one combination is anomalous. One or more alerts are generated in response to predicting that the at least one combination is anomalous.
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