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System and method for visual bayesian data fusion

机译：视觉贝叶斯数据融合的系统和方法

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摘要

System and method for visual Bayesian data fusion are disclosed. In an example, a plurality of datasets associated with a topic are obtained from a data lake. Each of the plurality of datasets include information corresponding to various attributes of the topic. Further, the plurality of datasets are joined to obtain a joined dataset. Furthermore, distribution associated with a target attribute is predicted using Bayesian modeling by selecting a plurality of attributes (k) based on mutual information with the target attribute in the joined dataset, learning a minimum spanning tree based Bayesian structure using the selected attributes and the target attribute, learning conditional probabilistic tables at each node of the minimum spanning tree based Bayesian structure; and predicting the distribution associated with the target attribute by querying the conditional probabilistic tables, thereby facilitating visual Bayesian data fusion.

机译：公开了用于视觉贝叶斯数据融合的系统和方法。在示例中，从数据湖获得与主题相关联的多个数据集。多个数据集的每个包括与主题的各种属性相对应的信息。此外，将多个数据集合并以获得合并的数据集。此外，通过使用基于贝叶斯建模的贝叶斯模型预测与目标属性相关联的分布，方法是基于互有信息，在连接数据集中选择多个属性（k），并使用所选属性和目标学习基于最小生成树的贝叶斯结构属性，在基于最小生成树的贝叶斯结构的每个节点上学习条件概率表;通过查询条件概率表来预测与目标属性相关的分布，从而有利于视觉贝叶斯数据融合。

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公开/公告号US10430417B2

专利类型
公开/公告日2019-10-01

原文格式PDF
申请/专利权人 TATA CONSULTANCY SERVICES LIMITED;
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申请/专利号US201715454830
发明设计人 GEETIKA SHARMA;KARAMJIT SINGH;GARIMA GUPTA;GAUTAM SHROFF;PUNEET AGARWAL;ADITEYA PANDEY;KAUSHAL ASHOKBHAI PANERI;GUNJAN SEHGAL;
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申请日2017-03-09
分类号G06F16/30;G06F16/2455;G06N20;G06F16/248;G06F16/901;G06N7;G06F16/26;G06F16/25;G06F16/2458;
国家 US
入库时间 2022-08-21 12:15:51

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