发明授权
- 专利标题： Risk analysis for data-intensive stochastic models
- 专利标题（中）： 数据密集随机模型的风险分析
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申请号： US13231792申请日： 2011-09-13
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公开(公告)号： US08341180B1公开(公告)日： 2012-12-25
- 发明人: Subramanian Arumugam , Peter J. Haas , Ravindranath Chowdary Jampani , Christopher Jermaine , Luis L Perez , Fei Xu
- 申请人： Subramanian Arumugam , Peter J. Haas , Ravindranath Chowdary Jampani , Christopher Jermaine , Luis L Perez , Fei Xu
- 申请人地址： US NY Armonk US TX Houston US FL Gainesville
- 专利权人： International Business Machines Corporation,Rice University,University of Florida
- 当前专利权人： International Business Machines Corporation,Rice University,University of Florida
- 当前专利权人地址： US NY Armonk US TX Houston US FL Gainesville
- 代理商 Jeffrey T. Holman
- 主分类号： G06F17/30
- IPC分类号： G06F17/30
摘要：
A risk analysis system and method are provided. The system includes an analyzer for analyzing database instances by executing a query on each database instance and selecting a cutoff value. The analyzer also discards the sets of uncertainty data that yield query-result values below the cutoff value and retains the database instances that yield query-result values above the cutoff value as elite sets. The system also includes a cloner to replicate the elite sets, and a sampler to modify the elite sets so that each elite set is mutually statistically independent while still yielding query-result values above the cutoff value.
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