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Data dimensionality reduction method, image construction method and system, and readable storage medium

A construction method and storage medium technology, applied in the field of machine learning and data mining, can solve problems such as data duplication and redundancy

Active Publication Date: 2022-04-15
北京市应急管理科学技术研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention aims to provide a data dimension reduction method, a portrait construction method and system, and a readable storage medium, so as to solve the technical problems of data duplication and redundancy in the prior art when large-scale enterprises safely produce portraits

Method used

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  • Data dimensionality reduction method, image construction method and system, and readable storage medium
  • Data dimensionality reduction method, image construction method and system, and readable storage medium
  • Data dimensionality reduction method, image construction method and system, and readable storage medium

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Embodiment 1

[0057] This embodiment provides a data dimensionality reduction method, such as figure 1 shown, including the following steps:

[0058] S1: Select the data samples used to realize the portrait construction, and the data samples belong to different systems; taking the safety production data of all enterprises in Beijing as an example, the selected data samples include safety production accidents, safety production hazards, law enforcement inspections, and administrative licenses 11 system data, including corporate ledgers, with a total of 3.22 million data records, including 3.11 million hidden danger data.

[0059] S2: Determine the dimensions of the portrait construction, construct a sample matrix, the number of rows in the sample matrix is ​​equal to the number of data samples, and the number of columns in the sample matrix is ​​equal to the number of dimensions; Table 1 is the statistics of the number of safety inspections of various enterprises in Beijing, check The numbe...

Embodiment 2

[0100] This embodiment provides a readable storage medium, in which program instructions are stored, and the computer executes the data dimensionality reduction method or image construction method described in Embodiment 1 after reading the program instructions.

Embodiment 3

[0102] This embodiment provides a data dimensionality reduction system, including at least one processor and at least one memory, at least one of the memory stores program instructions, and at least one processor reads the program instructions and executes the method described in Embodiment 1. Data dimensionality reduction method or portrait construction method.

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Abstract

The data dimensionality reduction method, portrait construction method and system, and readable storage medium provided by the present invention, in the data dimensionality reduction method, adopt the following steps: (1) determine the mapping relationship; (2) define the kernel function and kernel matrix; ( 3) Construct the Lagrangian function; (4) Calculate the proportional coefficient; (5) Obtain the projection vector during dimensionality reduction, thereby realizing data dimensionality reduction; (6) Obtain the sum of data samples after dimensionality reduction; (7) Calculate the sample The degree of association of neutralization; (8) Calculate the propagation ability of any node; (9) Calculate the degree of nodes, and build a complex network. The present invention adopts the method of combining complex network (CN) and kernel canonical correlation analysis (KCCA), integrates the advantages of the two, makes up for their respective shortcomings, and adopts big data analysis methods such as data dimensionality reduction to eliminate redundancy data, and emphatically consider the correlation between systems. Adopting the above technical solutions provided by the present invention, it is effective to establish a method for constructing enterprise safety production portraits, which provides accurate analysis basis for various enterprises in our country to adjust the industrial structure and strengthen the focus of supervision work.

Description

technical field [0001] The invention relates to the technical field of machine learning and data mining, in particular to a data dimensionality reduction method, a portrait construction method and system, and a readable storage medium. Background technique [0002] At present, most of the problems of enterprise safety production portrait construction are aimed at a single enterprise or user, and there are few studies on the construction of safety production portraits for enterprises above designated size. Moreover, when constructing a portrait of a single enterprise user, there is no need to consider the correlation information between users and factors such as safety production, so it does not involve multiple individuals. Moreover, this kind of portrait construction is more focused on application recommendation, without considering the follow-up Safety production status supervision issues. However, when drawing a portrait of the production safety of enterprises above desi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/213G06F18/2135
Inventor 季学伟周轶侯占杰于富才文明刘艳王博尤秋菊杨琳刘耀峰梅楠叶飞
Owner 北京市应急管理科学技术研究院
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