EFFICIENT STRUCTURED DATA EXPLORATION WITH A COMBINATION OF BIVARIATE METRIC AND CENTRALITY MEASURES

Patent №

US 9,858,331

Granted

2018-01-02

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14614822

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.

Machine learningVisionKnowledge representationPlanningAI hardwareG06F 16/285G06F 16/2282G06F 16/2379G06F 16/24578G06F 16/26G06F 16/9024

AI classification

Knowledge representation1.00
Machine learning1.00
AI hardware0.99
Planning0.84
Vision0.80
Natural language0.34
Evolutionary computation0.01
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 348970341

Assignors

TANG, KEXIA

On an employer assignment, the assignors are typically the inventors.

From the same owner

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