{"title":"使用同态加密和可更新距离矩阵的k均值聚类:有限数据所有者交互的安全第三方数据聚类","authors":"Nawal Almutairi, Frans Coenen, Keith Dures","doi":"10.1007/978-3-319-64283-3_20","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":184981,"journal":{"name":"International Conference on Data Warehousing and Knowledge Discovery","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction\",\"authors\":\"Nawal Almutairi, Frans Coenen, Keith Dures\",\"doi\":\"10.1007/978-3-319-64283-3_20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":184981,\"journal\":{\"name\":\"International Conference on Data Warehousing and Knowledge Discovery\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Data Warehousing and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-319-64283-3_20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Data Warehousing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-64283-3_20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction