{"title":"支持数据库中的数据探索","authors":"A. Badia","doi":"10.1109/ISI.2009.5137270","DOIUrl":null,"url":null,"abstract":"We propose a solution to the problem of exploring large, complex data sets in a (relational) database by a human user. In a nutshell, our proposed solution is to develop the tools to support data exploration and browsing in an organized manner. We introduce: (a) an organization of data around the idea of defining distances on data sets, to reflect the intuitive notion of data that is (closely) related to other data; and (b) a new set of operators to mediate user-data interaction that exploits the defined distances to let the user “move around” the data. Our operators are simple and intuitive, yet they can be combined in a flexible manner to support complex browsing interactions. The operators are combined in a novel interface that enables intelligent data exploration and analysis.","PeriodicalId":210911,"journal":{"name":"2009 IEEE International Conference on Intelligence and Security Informatics","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supporting data exploration in databases\",\"authors\":\"A. Badia\",\"doi\":\"10.1109/ISI.2009.5137270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a solution to the problem of exploring large, complex data sets in a (relational) database by a human user. In a nutshell, our proposed solution is to develop the tools to support data exploration and browsing in an organized manner. We introduce: (a) an organization of data around the idea of defining distances on data sets, to reflect the intuitive notion of data that is (closely) related to other data; and (b) a new set of operators to mediate user-data interaction that exploits the defined distances to let the user “move around” the data. Our operators are simple and intuitive, yet they can be combined in a flexible manner to support complex browsing interactions. The operators are combined in a novel interface that enables intelligent data exploration and analysis.\",\"PeriodicalId\":210911,\"journal\":{\"name\":\"2009 IEEE International Conference on Intelligence and Security Informatics\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Intelligence and Security Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2009.5137270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2009.5137270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a solution to the problem of exploring large, complex data sets in a (relational) database by a human user. In a nutshell, our proposed solution is to develop the tools to support data exploration and browsing in an organized manner. We introduce: (a) an organization of data around the idea of defining distances on data sets, to reflect the intuitive notion of data that is (closely) related to other data; and (b) a new set of operators to mediate user-data interaction that exploits the defined distances to let the user “move around” the data. Our operators are simple and intuitive, yet they can be combined in a flexible manner to support complex browsing interactions. The operators are combined in a novel interface that enables intelligent data exploration and analysis.