An Innovative Talent Training Management Method Based On Data Mining Technology

Abstract

In order to improve the effectiveness of innovative talents training management under the integrated media collaborative teaching mode, this paper studies the effectiveness model of online learning by combining data mining and optimization prediction algorithm, and puts forward the effectiveness prediction model of innovative talents training management under the integrated media collaborative teaching mode based on data mining technology. This paper establishes the fusion clustering model of the panel data of the effectiveness evaluation of innovative talents training under the mode of integrated media collaborative teaching, analyzes the panel data of innovative talents training effectiveness evaluation under the mode of integrated media collaborative teaching by using fuzzy correlation fusion clustering method, and analyzes the characteristics of innovative talents training behavior and association rules mining under the mode of integrated media collaborative teaching, and analyzes the effect of innovative talents training management under the mode of integrated media collaborative teaching. The template feature matching method is used to optimize the learning process, the linear programming model is used to schedule and optimize the resources of innovative talents training under the integrated media collaborative teaching mode, and the fuzzy analytic model is used to predict the effectiveness of innovative talents training and optimize the scheduling of learning resources under the integrated media collaborative teaching mode. The simulation results show that this method has high accuracy and reliability in predicting the effectiveness of innovative talents training management under the integrated media collaborative teaching mode, and improves the convergence and optimization ability of the learning process.