{"title":"关于近似查询处理系统的探索性数据分析,用户不期望的是什么","authors":"Dominik Moritz, Danyel Fisher","doi":"10.1145/3077257.3077258","DOIUrl":null,"url":null,"abstract":"Pangloss implements \"Optimistic Visualization\", a method that gives analysts confidence to use approximate results for exploratory data analysis. In this paper, we outline how analysts' experience with an approximate visualization system did not match their intuitions. These observations have implications for the design of future data exploration systems that expose uncertainty. We also describe requirements for approximate query engines to enable the next generation of exploratory visualization systems.","PeriodicalId":92279,"journal":{"name":"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"What Users Don't Expect about Exploratory Data Analysis on Approximate Query Processing Systems\",\"authors\":\"Dominik Moritz, Danyel Fisher\",\"doi\":\"10.1145/3077257.3077258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pangloss implements \\\"Optimistic Visualization\\\", a method that gives analysts confidence to use approximate results for exploratory data analysis. In this paper, we outline how analysts' experience with an approximate visualization system did not match their intuitions. These observations have implications for the design of future data exploration systems that expose uncertainty. We also describe requirements for approximate query engines to enable the next generation of exploratory visualization systems.\",\"PeriodicalId\":92279,\"journal\":{\"name\":\"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3077257.3077258\",\"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 of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3077257.3077258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
What Users Don't Expect about Exploratory Data Analysis on Approximate Query Processing Systems
Pangloss implements "Optimistic Visualization", a method that gives analysts confidence to use approximate results for exploratory data analysis. In this paper, we outline how analysts' experience with an approximate visualization system did not match their intuitions. These observations have implications for the design of future data exploration systems that expose uncertainty. We also describe requirements for approximate query engines to enable the next generation of exploratory visualization systems.