Research on Relational Database Fusion Method for Data Mining

With the development of data mining technology, more and more problems can be solved by data mining technology. In the development of data mining, the scale of data is also growing, so we need to use the appropriate way to store and optimize the data. The relational database is the most commonly used database, however, how to integrate a large number of relational databases in data mining is an urgent problem to be solved. In this paper, we first analyze the existing relational database integration scheme. Then, based on this scheme, an Aprior fusion algorithm for data mining and its optimization algorithm are proposed. Finally, we give an example of data mining to prove the validity of the data fusion scheme proposed in this paper. It can greatly improve the speed of data reading in data mining and finally improve the performance of data mining system. The experiments demonstrate the effectiveness of the proposed relational database fusion method for data mining.