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System and method for data visualization using machine learning and automatic insight of outliers associated with a set of data

机译：使用机器学习和对一组数据相关联的异常值的自动了解进行数据可视化的系统和方法

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摘要

In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can use a machine learning process to automatically determine one or more outliers or findings within the data, based on, for example, determining a plurality of combinations representing pairs of attribute dimensions within a data set, from which a general explanation or pattern can be determined for one or more attributes, and then comparing particular values for attributes, with the determined pattern for those attributes. Information describing such outliers or findings can be graphically displayed at a user interface, as text, graphs, charts, or other types of visualizations, and used as a starting point for further analysis of the data set.

机译：根据各种实施例，本文描述了用于使用计算机实现的机器学习来自动确定事实，片段，离群值或与一组数据相关联的其他信息的见解的系统和方法，以用于生成数据的可视化。根据一个实施例，该系统可以基于例如确定表示数据集中的多个属性维度对的多个组合来使用机器学习过程来自动确定数据中的一个或多个离群值或发现。可以确定一个或多个属性的一般解释或模式，然后将属性的特定值与这些属性的确定模式进行比较。可以在用户界面上以图形方式显示描述这些异常值或发现的信息，如文本，图形，图表或其他类型的可视化效果，并用作进一步分析数据集的起点。

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公开/公告号US10832171B2

专利类型
公开/公告日2020-11-10

原文格式PDF
申请/专利权人 ORACLE INTERNATIONAL CORPORATION;
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申请/专利号US201816148680
发明设计人 ASHISH MITTAL;VICTOR BELYAEV;STEVE SIMON JOSEPH FERNANDEZ;GABBY RUBIN;ALEXTAIR MASCARENHAS;SAMAR LOTIA;ALVIN RAJ;JOHN FULLER;SAUGATA CHOWDHURY;
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申请日2018-10-01
分类号G06N20;G06F16/248;G06F16/25;G06F16/26;G06F3/0481;G06F3/0486;G06T11/20;G06F16/22;
国家 US
入库时间 2022-08-21 11:27:36

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