Application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation specialty

Abstract

Due to the maturity of database technology and the increase of data applications, the total amount of data stored by people has increased exponentially. Due to the rapid increase of the total amount of information, once there is no reasonable way to obtain useful information and knowledge in computer and information technology, network information will become a mess. Faced with this challenge, data mining technology came into being. This paper studies the application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation majors. The management system is designed, and the association rule algorithm applied in the design is tested. Through the test results, it is concluded that the running time of the improved algorithm is much shorter than that of the Aprior algorithm, and the difference of the total time will also vary with the newly added data. The number of episodes increases and becomes larger. Therefore, in some fields where the database needs to be updated frequently, the IUAC algorithm shows obvious advantages.