Data Mining System and Construction Analysis of Skilled Talents based on Big Data

Abstract

The cultivation of high-quality skilled talents is an important subject that needs to be improved in the current vocational college education. Through the construction of the training mechanism corresponding to the specialty, the students’ practical ability can be promoted. Driven by big data, many technical enterprises gradually strengthen the recruitment of technical talents. However, due to the wide distribution of talents, data mining is more difficult. Therefore, it introduces the data mining system and construction analysis of skilled talents based on big data. This paper first analyzes the demand of skilled talents; secondly, the popular data mining technology is applied to this big data system, and the reasons for the low efficiency of data analysis and processing of skilled talents are obtained; then, the Bayesian algorithm in data mining technology is used to classify the technical talents, so that the enterprises in need can select and locate the skilled talents Data positioning is also carried out. Finally, it is concluded that the system can effectively promote the recruitment of technical talents in enterprises, and the ability level of these people after entering the company also meets the post requirements.