基于数据挖掘技术的统计工作创新研究

摘要

Over the years, the current government statistical work, facing a"data-rich but information poor"problem, and ignored the hidden laws of historical data mining analysis, however, the mining technology used in the Census and Statistics based on data warehouse data can be a good solution to this problem. This paper introduces the features and methods of data mining, by analyzing the characteristics of statistical data, using data mining techniques to analyze statistical data, presented statistical data classiifcation, clustering, association analysis method, by using different algorithms for statistical data excavation, looking out the data implied, valuable decision-making rules and valuable model results can improve government management decision-making level of service.%在经过许多年的研究与累积，目前政府在统计工作中，逐渐暴露出了“信息数据量虽然很大，但里面所包涵的信息相对贫乏”这一问题，然而将基于数据仓库的数据挖掘这一技术运用在政府统计工作中，就能够很好的解决这个问题。文章介绍了数据挖掘的功能及方法，通过分析统计数据的特点，运用数据挖掘技术进行统计数据的分析，提出对统计数据进行分类、聚类、关联分析的方法，通过运用不同的算法对统计数据进行挖掘，寻找出数据中隐含的、有价值的决策规则及有价值模式，研究结果可为提高政府管理决策水平服务。