{"title":"The research of outlier data cleaning based on accelerating method","authors":"Heyong Wang, Mingjian Li, Bingchuan Chen","doi":"10.1109/ICIME.2010.5477757","DOIUrl":null,"url":null,"abstract":"During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments.","PeriodicalId":382705,"journal":{"name":"2010 2nd IEEE International Conference on Information Management and Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd IEEE International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2010.5477757","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
During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments.