Based on Data Mining Algorithm of Data Mining Research

Abstract

This paper mainly studies the data mining algorithm in big data mining, and makes improvements in view of the large amount of data, sampling noise and many errors, which can not accurately locate the data. In this paper, the basic algorithm of data mining is studied in depth, from the algorithm principle, cognitive analysis, algorithm model and so on. Neural network optimization, clustering algorithm and other combined algorithms are introduced. The parameters of standard data mining algorithm are studied to understand the application significance and function of different parameters in the algorithm. Secondly, an improved data mining algorithm is proposed to solve the defect that ordinary data mining algorithm is easy to fall into wrong data. The clustering algorithm is used to test the performance of the improved data mining algorithm, and the test results are compared with the test results of the ordinary data mining algorithm. It proves that the improved data mining algorithm has better performance in terms of data mining ability and accuracy. A new clustering data mining algorithm based on neural network is proposed. The final results show that the optimized data mining algorithm has a more perfect and intelligent data mining system.