【摘要】 随着数据分析研究的兴起,数据预处理越来越得到研究者的重视,其中缺失数据填补问题的重要性也逐渐显现。在ROUSTIDA数据补齐算法的基础上,针对具有关键属性的重复数据的特点,文中提出了一种改进的ROUSTIDA算法——Key&Rpt_RS算法。Key&Rpt_RS算法继承了ROUSTIDA算法的优势,同时考虑了目标数据的重复性特点,分析了关键属性对填补效果的影响,得到了更加准确且有效的填补结果。更多还原

【Abstract】 With the rise of data analysis,the importance of data pre-processing has attracted more and more attention,especially the imputation of missing data.Based on the ROUSTIDA algorithm,this paper proposed an improved ROUSTIDA algorithm-Key&Rpt_RS algorithm.Key&Rpt_RS algorithm inherits the advantages of ROUSTIDA algorithm,considers the characteristic of repeatability in objective data,and analyzes the influence of key attribute on imputation effect.At last,this paper conducted the experiments based on the alarm data in communication network.The results show that Key&Rpt_RS algorithm outperforms the traditional ROUSTIDA algorithm in terms of the imputation effect for missing data.更多还原