Research on the Improvement of Data Mining Algorithm Based on “Internet +” System in Cloud Computing

In cloud computing environment, the research on data mining has very important practical significance. The traditional method of data mining has the problems of poor clustering effect and slow speed of data mining. In order to solve this problem, the “Internet +” system is used to improve the algorithm of data mining. Combined with the result of multiple sampling, the mining center of the data set is determined. On the basis of which, the multi-layer variable weighting concept is introduced, the non-leaf node data is distributed processing, the Euclidean distance algorithm is introduced to analyze the data linear relation, and the data convergence speed and the critical value in the data mining process are controlled, the optimal design of the data mining algorithm is realized. The simulation results show that, the improved algorithm improves the speed of data mining by 37.25%, and has higher distribution accuracy, better data clustering effect than the conventional algorithm.