| Summary: | In the process of synthetic brigade equipment support capability evaluation, data mining technology is an important means of evaluation data processing, which can quickly and efficiently obtain valuable evaluation information. Based on the analysis of the characteristics of synthetic brigade equipment support capability assessment data, this paper constructes the data mining architecture of synthetic brigade equipment support capability assessment, analyzes and studies the key technologies involved in the application of data mining in synthetic brigade equipment support capability assessment, such as Bayesian classification method, hierarchical cluster analysis and Apriori algorithm. The research results can provide methods and technical support for data processing of synthetic brigade equipment support capability assessment.
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