数据挖掘技术在经济统计中的应用探索

随着经济的不断发展与壮大,数据挖掘的工作量也越来越大,这直接导致了技术工人在工作中面临的统计数据更加庞大。而在传统的经济数据特点中,数据庞大且质量问题突出,这严重阻碍了工作的进程。传统的统计数据方式还比较落后,没有运用智能性手段深层次地分析处理,以至于数据间的潜在关系没有被开发出来,并且没有被利用到工作中去。论文提出了如何将数据挖掘技术应用在经济统计中,希望可以为广大的工作人员提供支持。

Application and Exploration of Data Mining Technology in Economic Statistics

With the continuous development and expansion of the economy,the workload of data mining is also increasing,which directly leads to the technical workers in the work of the statistical data are more huge.In the traditional characteristics of economic data,the data is huge and the quality problem is prominent,which seriously hinders the progress of the work.The traditional statistical data method is still relatively backward and does not use the intelligent means to analyze and process deeply,so that the potential relationship between data is not developed and not used in the work.This paper puts forward how to apply data mining technology in economic statistics,hoping to provide support for the vast number of workers.