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数据挖掘中的数据预处理方法 被引量:20

Research on Data Preprocess in Data Mining
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摘要 从初始数据源出发,总结了目前数据预处理的常规流程方法,提出应把源数据的获取作为数据预处理的一个步骤,并且创新性地把数据融合的方法引入到数据预处理的过程中,提出了数据的循环预处理模式,为提高数据质量提供了更好的分析方法,保证了预测结果的质量,为进一步研究挖掘提供了较好的参考模式. Beginning from the initial data source,data preprocess routine technological process method is summed up,and at the same time,it is put forward that,gaining source data should be as a step of data preprocess.Datafusion is brought into data preprocess,and the data circulation preprocess pattern is proposed;it is a fairly good reference pattern for further studies in data mining,and provides much better analysis method to raise the data mass,and gave an important guarantee to forecasting the result mass.
出处 《华北水利水电学院学报》 2008年第6期61-63,共3页 North China Institute of Water Conservancy and Hydroelectric Power
基金 华北水利水电学院青年科研基金项目(HSQJ2005015) 河南省高校新世纪优秀人才支持计划项目(2006HANCET-03) 省社科联调研项目(SKL-2008-1041)
关键词 数据挖掘 数据预处理 数据分析 data mining data preprocess data analysis
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