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Efficient structured data exploration with a combination of bivariate metric and centrality measures

机译:结合双变量度量和集中度度量进行有效的结构化数据探索

摘要

According to one exemplary embodiment, a method for exploring a structured data set is provided. The method may include receiving a plurality of bivariate pairs and an input bivariate pair, wherein the plurality of bivariate pairs and the input bivariate pair are based on the structured data set. The method may include constructing a graph having a plurality of nodes and a plurality of edges based on the received plurality of bivariate pairs and input bivariate pair. The method may include constructing an adjacency matrix based on the constructed graph. The method may include calculating a centrality for each node based on the constructed matrix. The method may include constructing an orthogonal list based on the plurality of bivariate pairs and the input bivariate pair. The method may include ordering the orthogonal list based on the calculated centrality of each node within the plurality of nodes.
机译:根据一个示例性实施例,提供了一种用于探索结构化数据集的方法。该方法可以包括接收多个双变量对和输入双变量对,其中多个双变量对和输入双变量对基于结构化数据集。该方法可以包括基于所接收的多个双变量对和输入的双变量对来构造具有多个节点和多个边缘的图。该方法可以包括基于所构造的图来构造邻接矩阵。该方法可以包括基于所构造的矩阵为每个节点计算中心度。该方法可以包括基于多个双变量对和输入的双变量对构造正交列表。该方法可以包括基于所计算的多个节点内的每个节点的中心性来对正交列表进行排序。

著录项

  • 公开/公告号US9858331B2

    专利类型

  • 公开/公告日2018-01-02

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US201514614822

  • 发明设计人 KEXIA TANG;

    申请日2015-02-05

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 12:55:24

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