目前,电力行业主要是通过考试、专家评定等方式开展人才评价工作,由于电力企业属于技术密集型企业,其对人才的需求较大且有较高的标准,企业往往花费较大的精力在人才评价上。随着大数据时代的到来,将数据挖掘技术应用到人才评价中去,可以在一定程度上给出定量的、相对客观准确的人才评价结果,从而为企业长期发展提供强大可持续的智力支持。 At present, the power industry carries out talent evaluation mainly through examination and expert evaluation. As power companies are technology-intensive enterprises, their demand for qualified personnel is high and their standards are relatively high. Enterprises often spend more energy on talents Evaluation on. With the arrival of big data era, data mining technology applied to talent evaluation can give a certain degree of quantitative, relatively objective and accurate evaluation results of qualified personnel so as to provide a strong and sustainable intellectual support for the long-term development of the enterprise.