{"title":"A Verification Scheme for Data Aggregation in Data Mining","authors":"K. Shin, J. Zhan","doi":"10.1109/GrC.2007.121","DOIUrl":null,"url":null,"abstract":"To conduct data mining, we often need to collect data from various data owners. Privacy concerns may prevent the parties from directly sharing the data and some types of information about the data. To conduct data mining without compromising data privacy, we propose a verification scheme to ensure that the collected data follow the requirements of data miners, which is one of the important issues in privacy-preserving data mining systems.","PeriodicalId":259430,"journal":{"name":"2007 IEEE International Conference on Granular Computing (GRC 2007)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Granular Computing (GRC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GrC.2007.121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
To conduct data mining, we often need to collect data from various data owners. Privacy concerns may prevent the parties from directly sharing the data and some types of information about the data. To conduct data mining without compromising data privacy, we propose a verification scheme to ensure that the collected data follow the requirements of data miners, which is one of the important issues in privacy-preserving data mining systems.