- 专利标题: Refinement of a predicted event based on explainability data
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申请号: US16269125申请日: 2019-02-06
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公开(公告)号: US11681928B2公开(公告)日: 2023-06-20
- 发明人: Larisa Shwartz , Frank Bagehorn , Jinho Hwang , Marcos Vinicius L. Paraiso , Rafal Bigaj , Vidhya Shankar Venkatesan , Dorothea Wiesmann Rothuizen , Amol Bhaskar Mahamuni
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理机构: Amin, Turocy & Watson, LLP
- 主分类号: G06F9/54
- IPC分类号: G06F9/54 ; G06N5/022 ; G06F11/07
摘要:
Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.
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