Application of data Mining in Building Safety Construction

Abstract

Under the background of big data era, the safety management of construction enterprises should turn their attention to big data, enhance the depth and breadth of information utilization, and explore the safety management of construction enterprises in big data era. In the face of a large number and complex structure of safety production data, the traditional safety management methods can't be used effectively, which leads to the waste of a lot of valuable information and restricts the in-depth understanding and research of improving the level of safety management. According to the characteristics of production safety data, this paper puts forward a data mining algorithm based on natural language processing technology and K-means and Aprior algorithm, combined with visual data mining technology to realize the in-depth analysis of production safety data of a construction project in Shandong Province in 2020.The results show that the distribution law of safety problems in the process of safety production in construction enterprises is obvious, and there is an important relationship between safety problems. If targeted safety management measures are taken, it is bound to improve the efficiency of safety management in construction enterprises.