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ICT supply chain network key node identification attribute extraction method

A technology of key nodes and key attributes, applied in character and pattern recognition, data processing applications, instruments, etc., to achieve obvious differences between algorithms, avoid limitations, and improve generalization.

Inactive Publication Date: 2020-12-18
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0016] The purpose of the present invention is to solve the problem of key node identification and key attribute selection of key nodes in ICT supply chain data, and propose a method of attribute selection based on boruta-logic regression

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  • ICT supply chain network key node identification attribute extraction method
  • ICT supply chain network key node identification attribute extraction method
  • ICT supply chain network key node identification attribute extraction method

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Embodiment Construction

[0041] In order to better illustrate the purpose and advantages of the present invention, the implementation of the method of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0042] All the following tests are completed on the same computer, the specific configuration is: Intel dual-core CPU (main frequency 2.53G), 4G memory, Windows 10 operating system.

[0043] The experimental data comes from the ICT bidding project data set, a total of 2043 data. For the identification of key nodes in the ICT supply chain, key nodes are divided into category 0, and non-key nodes are divided into category 1. As the label of the binary classification training data source, there are 9 different attributes in total, including enterprise type, registered capital, date of establishment, and registration status , corporate residence, number of branches, individual influence margin, product layout and industry layout.

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Abstract

The invention relates to an ICT supply chain network key node identification and key node identification attribute extraction method and belongs to the technical field of computer and information science. The method comprises the following steps of firstly, identifying key nodes in combination with the topological information and the commercial information of an ICT supply chain; analyzing the importance of the to-be-selected attributes by using a boruta algorithm, and extracting important attributes influencing the key nodes; constructing a logistic regression model by using the attributes tobe selected to obtain attributes having significant influence on the key nodes; screening the two methods to obtain key attributes, and performing attribute fusion by adopting an intersection classification method to obtain final key attributes. According to the method, two different methods are used for selecting the attributes influencing the key nodes, difference between algorithms is obvious,the limitation brought by a single method is avoided, and generalization of the key attributes is improved.

Description

technical field [0001] The invention relates to identification of key nodes in an ICT supply chain network and a method for extracting key attributes of key nodes, belonging to the technical field of computer and information science. Background technique [0002] The ICT supply chain is a globally distributed complex system with multidimensional characteristics such as supplier diversity, product service complexity, and full life cycle coverage. Using complex network theory to analyze the criticality of nodes in the supply chain network in the ICT field, combined with topological information and business information to identify key nodes, can protect the key nodes of the supply chain network and provide support for optimizing the layout of the supply network. [0003] For the ICT supply chain research field, there is often no specific research goal when collecting information, resulting in a large number of attributes in the original data set. It is necessary to select the a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q10/06G06Q50/30
CPCG06Q10/06393G06F18/214G06F18/24323G06Q50/40
Inventor 罗森林吴倩黄元飞王博慕星星吴舟婷潘丽敏
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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