{"title":"可视化化学品检测VAST 2017迷你挑战2","authors":"Jiaqi Zhang, Xintian Liu, Hongjun Qian, T. Kam","doi":"10.1109/VAST.2017.8585723","DOIUrl":null,"url":null,"abstract":"Analysis of sensor data is currently a popular topic in visual analytics, as visual representations can efficiently uncover insights in huge and noisy datasets.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualizing chemicals detection VAST 2017 Mini Challenge 2\",\"authors\":\"Jiaqi Zhang, Xintian Liu, Hongjun Qian, T. Kam\",\"doi\":\"10.1109/VAST.2017.8585723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis of sensor data is currently a popular topic in visual analytics, as visual representations can efficiently uncover insights in huge and noisy datasets.\",\"PeriodicalId\":149607,\"journal\":{\"name\":\"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VAST.2017.8585723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VAST.2017.8585723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualizing chemicals detection VAST 2017 Mini Challenge 2
Analysis of sensor data is currently a popular topic in visual analytics, as visual representations can efficiently uncover insights in huge and noisy datasets.