Data Classification Algorithm Based on Association Rules from the Perspective of Data Mining

Association rules(AR) are a common data classification method. It can create more value by studying how to better mine user information and establish connections between these large number(LR) of reusable objects. For better studying the data classification algorithm, this paper studies from the perspective of data mining. This paper mainly discusses and studies some common data mining technologies, and designs a method to deal with related events based on learning rules to solve the problems in practical applications. The experimental data shows that when the number of concurrent users increases, the time of different algorithms also increases, but the time spent in data mining is less than 2 minutes. It shows that the data classification algorithm under the data mining can play a certain role.