Construction of Civil Engineering Teaching System Based on Data Mining Algorithm and Big Data Technology

Abstract

Abstract Under the big data(BD) technology, colleges and universities pay more and more attention to educational technology, so as to follow up with modern information, digitization, and visualization. The courses of civil engineering teaching with traditional teaching methods and single knowledge of students are profit-only, applying data mining(DM) technology and BD technology to realize positive thinking mode. This article first gives a brief overview of DM technology and BD technology, and then discusses the strategy of applying BD technology in teaching of civil engineering professional courses, and finally applies BD DM technology to the construction of civil engineering teaching system, to realize the intelligent teaching mode. Based on DM technology and BD technology, this paper comprehensively studies the construction of two technologies in the civil engineering teaching system of colleges and universities. This article combines the new concept of constructing attention to teaching, expounds the advantages of DM algorithm in the construction of civil engineering teaching system, and briefly analyzes the composition and development of the networked civil engineering teaching system platform. At the same time, this article also in-depth research In the classification algorithm of the DM algorithm, the k-nearest algorithm is discussed, and for the efficiency of their construction in the civil engineering teaching system, the visualization research is carried out from the operation efficiency of the algorithm steps and other aspects and the organization of the data set. Based on the above research, the optimization schemes of particle swarm algorithm and ant colony algorithm are designed, and a parallelized early warning system model is realized using GPU based on CUDA platform. In the above research, the two algorithms were compared and tested, and the efficiency of the algorithm in the construction of civil engineering teaching system was verified. Experimental research results show that the cosine correlation analysis based on DM algorithms and the hybrid particle swarm algorithm can effectively integrate BD technology to construct a civil engineering teaching system and improve the operating efficiency of the system.