{"title":"The Method for Data Reduction Based on Evaluation of Attribute Significance","authors":"Chao-bo He, Qimai Chen","doi":"10.1109/IWISA.2010.5473715","DOIUrl":null,"url":null,"abstract":"According to the problem of attribute subset selection,the paper put forward a method based on evaluation of attribute significance.Based on the rough set theories the method first defined the calculation formula of attribute significance and designed the corresponding solution algorithm,whose running time complexity decreased about |U|2 orders of magnitude comparing with the similar algorithm on the same test dataset with |U| rescords.The result of application example shows that this method can reserve the condition attributes,which are important for decision attributes,and also can perform the data reduction operation effectively.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
According to the problem of attribute subset selection,the paper put forward a method based on evaluation of attribute significance.Based on the rough set theories the method first defined the calculation formula of attribute significance and designed the corresponding solution algorithm,whose running time complexity decreased about |U|2 orders of magnitude comparing with the similar algorithm on the same test dataset with |U| rescords.The result of application example shows that this method can reserve the condition attributes,which are important for decision attributes,and also can perform the data reduction operation effectively.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
