Data Mining Algorithm Data Model Data Analysis Based on Artificial Intelligence Technology

Abstract

In recent years, as people use of information technology collection and analysis of data ability to improve and the rapid development of artificial intelligence technology, greatly promoted the data mining technology in the rapid rise of all kinds of basic scientific research, especially on the basis of artificial neural network intelligent algorithm of data mining technology is more widely used. This paper aims to study the data mining algorithm data model data analysis. First, this paper comprehensively expounds the basic theories and methods of data mining. On the basis of understanding and analyzing various data mining techniques, we focus on deeply analyzing and explaining the data mining technology based on BP neural network. Furthermore, this paper proposes a modified algorithm (HA-BP), which integrates multiple algorithm advantages and joint optimization, in view of the shortcomings of BP neural network algorithm, which is fully demonstrated in the nonlinear function simulation. Through the ideas and methods of data mining, it not only realizes the diagnosis and efficient prediction of abnormal data, but also realizes the effective value-added of basic data samples, and provides new research methods and ideas for mathematical analysis, influence factor analysis and even the main direction of subsequent research. The experiment has proved that the data extraction speed of the data mining algorithm is about 10 times faster than the traditional data mining algorithm, and the data mining accuracy has reached more than 95%. With the training and learning of the algorithm, the efficiency can be further improved.