{"title":"用于分析轨迹模式的可视化资源管理器","authors":"Wooil Kim, Changbeom Shim, Ilhyun Suh, Y. Chung","doi":"10.1109/VAST.2017.8585462","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017. Index Terms—Visual analytics, Information visualization","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Visual Explorer for Analyzing Trajectory Patterns\",\"authors\":\"Wooil Kim, Changbeom Shim, Ilhyun Suh, Y. Chung\",\"doi\":\"10.1109/VAST.2017.8585462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017. Index Terms—Visual analytics, Information visualization\",\"PeriodicalId\":149607,\"journal\":{\"name\":\"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"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.2017.8585462\",\"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.2017.8585462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Visual Explorer for Analyzing Trajectory Patterns
In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017. Index Terms—Visual analytics, Information visualization