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.
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[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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