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如今,经济统计尚且普遍存在数据库庞大、复杂且数据质量低下等亟待解决的问题。究其根本,对于数据的统计、处理方法仍然停留于报表分析统计的层面,深层次的智能性处理分析十分缺乏,使得潜在于数据间的联系及价值易被忽略,同时虚假数据鉴别水平较低。针对这些问题,我们探讨了数据挖掘技术在经济统计中的相关应用,旨在为相关引用提供一定借鉴。
Nowadays, there are still many problems that need to be solved, such as huge database, complex data and low data quality. At its root, data processing and statistics still remain at the level of report analysis and statistics. The deep analysis of intelligence processing is very scarce, making the potential linkages and values of data easy to be overlooked, while the level of false data is low . In response to these problems, we explored the data mining technology in economic statistics related applications, designed to provide some reference for the reference.