{"title":"VAST 2007竞赛互动海报:使用NdCore和REGGAE进行数据分析","authors":"L. Schwendiman, J. McLean, J. Larson","doi":"10.1109/VAST.2007.4389016","DOIUrl":null,"url":null,"abstract":"ATS intelligent discovery analyzed the VAST 2007 contest data set using two of its proprietary applications, NdCore and REGGAE (relationship generating graph analysis engine). The paper describes these tools and how they were used to discover the contest's scenarios of wildlife law enforcement, endangered species issues, and ecoterrorism.","PeriodicalId":227910,"journal":{"name":"2007 IEEE Symposium on Visual Analytics Science and Technology","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE\",\"authors\":\"L. Schwendiman, J. McLean, J. Larson\",\"doi\":\"10.1109/VAST.2007.4389016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ATS intelligent discovery analyzed the VAST 2007 contest data set using two of its proprietary applications, NdCore and REGGAE (relationship generating graph analysis engine). The paper describes these tools and how they were used to discover the contest's scenarios of wildlife law enforcement, endangered species issues, and ecoterrorism.\",\"PeriodicalId\":227910,\"journal\":{\"name\":\"2007 IEEE Symposium on Visual Analytics Science and Technology\",\"volume\":\"212 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Symposium on Visual Analytics Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VAST.2007.4389016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Symposium on Visual Analytics Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VAST.2007.4389016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE
ATS intelligent discovery analyzed the VAST 2007 contest data set using two of its proprietary applications, NdCore and REGGAE (relationship generating graph analysis engine). The paper describes these tools and how they were used to discover the contest's scenarios of wildlife law enforcement, endangered species issues, and ecoterrorism.