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Data dimension reduction method, portrait construction method and system, and readable storage medium

A technology of data dimensionality reduction and storage medium, applied in instruments, character and pattern recognition, computer parts, etc., can solve the problems of data duplication and redundancy, etc.

Active Publication Date: 2020-04-10
北京市应急管理科学技术研究院
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 s

Method used

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  • Data dimension reduction method, portrait construction method and system, and readable storage medium
  • Data dimension reduction method, portrait construction method and system, and readable storage medium
  • Data dimension reduction method, portrait construction method and system, and readable storage medium

Examples

Experimental program
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Example Embodiment

[0056] Example 1

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

[0058] S1: Select the data sample used to realize the portrait construction, the data sample belongs to different systems; take the safety production data of all enterprises in Beijing as an example, the selected data sample includes safety production accidents, safety production hazards, law enforcement inspections, and administrative license 11 system data including enterprise ledger, total 3.22 million data records, of which 3.11 million hidden danger data.

[0059] S2: Determine the dimensions of portrait construction, and 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 shows the statistics on the number of safety inspections of various enterprises in Beijing. The number of al...

Example Embodiment

[0099] Example 2

[0100] This embodiment provides a readable storage medium with program instructions stored in the storage medium, and the computer reads the program instructions and executes the data dimensionality reduction method or the portrait construction method described in Embodiment 1.

Example Embodiment

[0101] Example 3

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

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Abstract

The invention provides a data dimension reduction method, a portrait construction method and a system, and a readable storage medium, and the method comprises the following steps: (1) determining a mapping relation; (2) defining a kernel function and a kernel matrix; (3) constructing a Lagrange function; (4) calculating a proportionality coefficient; (5) obtaining a projection vector during dimension reduction so as to realize data dimension reduction; (6) obtaining a data sample sum after dimension reduction; (7) calculating the correlation degree of sample neutralization; (8) calculating thepropagation capacity of any node; and (9) calculating the degree of the nodes, and constructing a complex network. According to the method, a complex network (CN) and kernel canonical correlation analysis (KCCAA) mode is adopted, the advantages of the complex network (CN) and the kernel canonical correlation analysis (KCAA) mode are fused, the defects of the complex network (CN) and the kernel canonical correlation analysis (KCAA) mode are overcome, redundant data are eliminated by adopting big data analysis methods such as data dimension reduction, and the correlation between systems is emphatically considered. By adopting the method provided by the invention, the establishment of the enterprise safety production portrait construction method is effective, and an accurate analysis basis is provided for each enterprise in China to adjust the industrial structure and strengthen the key point 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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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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