发明授权
US09299042B2 Predicting edges in temporal network graphs described by near-bipartite data sets
有权
预测由近二分数据集描述的时间网络图中的边
- 专利标题: Predicting edges in temporal network graphs described by near-bipartite data sets
- 专利标题(中): 预测由近二分数据集描述的时间网络图中的边
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申请号: US13963439申请日: 2013-08-09
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公开(公告)号: US09299042B2公开(公告)日: 2016-03-29
- 发明人: Christopher R. Eck
- 申请人: Raytheon Company
- 申请人地址: US MA Waltham
- 专利权人: Raytheon Company
- 当前专利权人: Raytheon Company
- 当前专利权人地址: US MA Waltham
- 代理机构: Schwegman Lundberg & Woessner, P.A.
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06F17/18 ; G06Q10/06
摘要:
Embodiments of a system and method for predicting a future state of a set of data are generally described herein. In some embodiments, a set of data in a first domain is obtained. The set of data in the first domain may be represented as a network graph. The set of data in the first domain is mapped into a set of data in a second domain. A plurality of prediction models are applied to the set of data in the second domain to produce a plurality of predicted sets of data. The predicted sets of data are combined to generate a combined predicted set of data having a best match. The combined predicted sets of data having the best match are reverse mapped to the first domain.
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