Silvana Podaras, Michael Beham, R. Splechtna, D. Gračanin, K. Matkovič
{"title":"GC—异构数据集的整体分析","authors":"Silvana Podaras, Michael Beham, R. Splechtna, D. Gračanin, K. Matkovič","doi":"10.1109/VAST.2017.8585435","DOIUrl":null,"url":null,"abstract":"The 2017 VAST Challenge is set in a fictional natural preserve surrounded by a small industrial area with four companies and a mid-size city. In this area, the population of a local bird, the Rose-Crested Blue Pipit, is decreasing. The task of the Grand Challenge was to combine findings of the three Mini-Challenges and additional textual data and build a hypothesis about what (and who) could impact the birds population.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GC --- Holistic Analysis of Heterogeneous Datasets\",\"authors\":\"Silvana Podaras, Michael Beham, R. Splechtna, D. Gračanin, K. Matkovič\",\"doi\":\"10.1109/VAST.2017.8585435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 2017 VAST Challenge is set in a fictional natural preserve surrounded by a small industrial area with four companies and a mid-size city. In this area, the population of a local bird, the Rose-Crested Blue Pipit, is decreasing. The task of the Grand Challenge was to combine findings of the three Mini-Challenges and additional textual data and build a hypothesis about what (and who) could impact the birds population.\",\"PeriodicalId\":149607,\"journal\":{\"name\":\"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)\",\"volume\":\"60 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.2017.8585435\",\"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.2017.8585435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GC --- Holistic Analysis of Heterogeneous Datasets
The 2017 VAST Challenge is set in a fictional natural preserve surrounded by a small industrial area with four companies and a mid-size city. In this area, the population of a local bird, the Rose-Crested Blue Pipit, is decreasing. The task of the Grand Challenge was to combine findings of the three Mini-Challenges and additional textual data and build a hypothesis about what (and who) could impact the birds population.