Method, device and system for estimating causal relationship between observation variables

A causal relationship and variable technology, applied in the field of data mining, can solve problems such as user difficulties and achieve the effect of precise causal relationship

Pending Publication Date: 2019-07-16
NEC CORP
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although according to this scheme, the system is able to tolerate a certain degree of error, the system ...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method, device and system for estimating causal relationship between observation variables
  • Method, device and system for estimating causal relationship between observation variables
  • Method, device and system for estimating causal relationship between observation variables

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Hereinafter, various exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. It should be noted that these drawings and description relate to preferred embodiments as examples only. It should be noted that, from the ensuing description, alternative embodiments of the structures and methods disclosed herein are readily conceivable and may be employed without departing from the disclosed principles of the present disclosure as claimed.

[0041] It should be understood that these exemplary embodiments are given only to enable those skilled in the art to better understand and implement the present disclosure, but not to limit the scope of the present disclosure in any way. In addition, in the drawings, for the purpose of illustration, optional steps, modules, modules, etc. are shown in dashed boxes.

[0042] The terms "including", "comprising" and similar terms used herein should be understood as open-ended t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method, a device and a system for estimating a causal relationship between observation variables. A method for estimating a causal relationship between observation variables according to the present disclosure may include, in response to receiving expert knowledge for at least a portion of a plurality of observation variables, converting the expert knowledge into constraints required to be met by a causal relationship target of the plurality of observation variables; and by using the observation data of the observation variables, through sparse causal relationship reasoning, under the constraint of the directed acyclic graph and the constraint which needs to be met and is obtained by converting expert knowledge, carrying out optimal solution on the causal relationship target expression so as to estimate the causal relationship between the observation variables. The causal reasoning method can be merged into the causal reasoning process in a simple mode, expertknowledge is fully utilized, and a more accurate causal relationship is obtained.

Description

technical field [0001] The present disclosure relates to the technical field of data mining, and more particularly to a method, device and system for estimating the causal relationship between observed variables. Background technique [0002] In the era of big data, a large amount of data can be obtained through various data collection channels. Through data analysis and mining of these data, a lot of useful information can be obtained. However, in many application fields, people often only see the appearance of the system and obtain observational data, but cannot gain insight into the complex mechanism and process behind the system, but can only gain empirical understanding. [0003] The causal structure learning is dedicated to the observation data based on the system, automatically restores the complex mechanism behind the system, and restores the data generation process. At present, causal structure learning technology has been widely used in pharmaceuticals and manufa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/901G06F16/2458
CPCG06F16/2465G06F16/9024G06N5/022G06N20/00G06N5/01G06N7/01G06N5/04G06F17/15G06F17/18
Inventor 冯璐刘春辰卫文娟潘征
Owner NEC CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap