数据挖掘应用和优化的研究

Research on application and optimization of data mining

针对数据挖掘技术从数据源中挖掘出潜在的、有价值的知识,对科学决策和分析问题具有非常重要的意义。通过对聚类算法进行分析,结合可视化技术,利用网格与聚类算法相结合,进行二次聚类处理,提高数据挖掘的工作效率。本文对于智能研究人员具有积极的作用。

Mining potential and valuable knowledge for data mining technology is very important to scientific decision making and analysis. Through the analysis of the clustering algorithm, combined with visualization technology, the use of grid and clustering algorithm, the two clustering processing, improve the efficiency of data mining. This paper has a positive effect on the intelligent researchers.