sumnous github.io

Sumnouss Blog

paper link 问题现状背景 数据管理应用需要整合多个来源的数据这些多个来源的数据有可能冲突为了提供数据的质量需要解决冲突以及发掘反应真实世界的values这个过程也叫做数据融合 传统的方法是投票 论文的贡献解决的问题 本文提出了一种在大量有冲突的数据源中发现true
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Sumnouss Blog

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paper link 问题现状背景 数据管理应用需要整合多个来源的数据这些多个来源的数据有可能冲突为了提供数据的质量需要解决冲突以及发掘反应真实世界的values这个过程也叫做数据融合 传统的方法是投票 论文的贡献解决的问题 本文提出了一种在大量有冲突的数据源中发现true

PARSED CONTENT

The site had the following in the web page, "2013-Data Fusion Resolving Conflicts From Multiple Sources-PaperNote." I observed that the web site stated " Source Accuracy in data fusion." They also stated " Copying relationships in data fusion. 两个数据源提供的值分三种情况 Ot表示S1和S2提供相同的true value Of表示S1和S2提供相同的false value Od表示S1和S2提供different value 这三种value集合共同构成Phi空间 Independent Vote Count of a Value. 迭代计算 accuracy of sources, copying between sources, and confidence of values. 1 根据前次的Cv计算copying关系 2 更新Cv 3 更新源的准确度 Posted at http sumnous. Gephi on OS X Mavericks 10."

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