{"title":"多路表的交互式可视化","authors":"Kenneth C. Cox, Dianne Hackborn","doi":"10.1109/INFVIS.1996.559221","DOIUrl":null,"url":null,"abstract":"Many business data visualization applications involve large databases with dozens of fields and millions of rows. Interactive visualization of these databases is difficult because of the large amount of data involved. We present a method of summarizing large databases which is well suited to interactive visualization. We illustrate this with a visualization tool for the domain of call billing data.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Interactive visualization of multiway tables\",\"authors\":\"Kenneth C. Cox, Dianne Hackborn\",\"doi\":\"10.1109/INFVIS.1996.559221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many business data visualization applications involve large databases with dozens of fields and millions of rows. Interactive visualization of these databases is difficult because of the large amount of data involved. We present a method of summarizing large databases which is well suited to interactive visualization. We illustrate this with a visualization tool for the domain of call billing data.\",\"PeriodicalId\":153504,\"journal\":{\"name\":\"Proceedings IEEE Symposium on Information Visualization '96\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Symposium on Information Visualization '96\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFVIS.1996.559221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Symposium on Information Visualization '96","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFVIS.1996.559221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many business data visualization applications involve large databases with dozens of fields and millions of rows. Interactive visualization of these databases is difficult because of the large amount of data involved. We present a method of summarizing large databases which is well suited to interactive visualization. We illustrate this with a visualization tool for the domain of call billing data.
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