Data Quality Evaluation Method Based on Density Clustering Algorithm and Its Application

Data quality assessment is mainly to analyze, evaluate and calculate the collected original information, and then to obtain the decision results. At present, there are many research methods for data quality. Through density clustering of data, we can get some parameters. This paper proposes a new data quality evaluation model to improve the performance of products and services. This paper mainly analyzes the data quality evaluation model by using experimental comparison and density clustering algorithm analysis. The experimental data shows that because the weight of the precision rule set in the evaluation is 0.18, the precision evaluation value in the final evaluation value is 14.99.