符合人工智能产业人力资源需求的计算机与人工智能复合知识点挖掘

Caiming Liu, Y. Zhang, Chunming Xie
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引用次数: 1

摘要

人工智能行业对员工掌握计算机使用及相关知识的要求更高。通过数据挖掘,可以分析复合知识对人工智能行业需求的综合影响。为了挖掘计算机与人工智能的复合知识,满足人工智能行业对人力资源的需求,本研究对计算机与人工智能的复合知识与人工智能行业人力资源需求进行相关性分析。构建了人工智能行业需求数据集和复合知识数据集进行需求分析。利用关联规则构建人工智能行业需求数据。通过数据挖掘,分析了复合知识与知识之间的关系。利用关联规则对数据进行挖掘,发现符合人工智能行业需求的复合知识。实验结果验证了该方法的可行性。
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Computer and AI Compound Knowledge Points Mining in Line with Human Resources Demand of AI Industry
The artificial intelligence industry has higher requirements for employees to master computer use and related knowledge. The comprehensive impact of compound knowledge on the demand of the artificial intelligence industry can be analyzed through data mining. In order to mine the compound knowledge of computers and artificial intelligence and meet the needs of the AI industry for human resources, a correlation analysis between the compound knowledge of computers and artificial intelligence and the human resources needs of the AI industry is conducted in this study. The data set of the artificial intelligence industry's demand and the compound knowledge data set are constructed for demand analysis. The data for the artificial intelligence industry's demand is constructed using the association rules. Through mining the data, the relationship between compound knowledge and the is analyzed. By mining the data with association rules, the compound knowledge that meets the requirements for the artificial intelligence industry is found. The experimental results verify the feasibility of the proposed method.
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