- 专利标题： Order-Sensitive Automated Modeling, Learning and Reasoning in Multivariate Temporal Event Streams to Enable Alerts, Detection, Prediction and Control
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申请号： US17557015申请日： 2021-12-20
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公开(公告)号： US20230196145A1公开(公告)日： 2023-06-22
- 发明人: Dharmashankar Subramanian , Debarun Bhattacharjya , Tian Gao
- 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
- 主分类号： G06N5/04
- IPC分类号： G06N5/04 ; G06N5/02
摘要：
A computer implemented method of modeling agent interactions, includes receiving event occurrence data. One or more parent-event types and one or more corresponding child-event types are learned from the event occurrence data. A timeline of the one or more parent-event types and one or more corresponding child-event types is modeled from the event occurrence data. Agent interactions are predicted based on an order of the parent-event types in a predetermined history window.
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