{"title":"通过调查和关联规则挖掘,对医疗卫生数据集的敏感和非敏感属性的确定进行批判性研究和分析","authors":"D. Vashi, H. Bhadka, Kuntal Patel","doi":"10.24327/IJRSR.2017.0805.0307","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":14198,"journal":{"name":"International journal of recent scientific research","volume":"120 1","pages":"17218-17222"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Critical study and analysis for deciding sensitive and non-sensitive attributes of medical healthcare dataset through survey and using association rule mining\",\"authors\":\"D. Vashi, H. Bhadka, Kuntal Patel\",\"doi\":\"10.24327/IJRSR.2017.0805.0307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":14198,\"journal\":{\"name\":\"International journal of recent scientific research\",\"volume\":\"120 1\",\"pages\":\"17218-17222\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of recent scientific research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24327/IJRSR.2017.0805.0307\",\"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 journal of recent scientific research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24327/IJRSR.2017.0805.0307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Critical study and analysis for deciding sensitive and non-sensitive attributes of medical healthcare dataset through survey and using association rule mining