M. Benkert, B. Djordjevic, Joachim Gudmundsson, T. Wolle
{"title":"寻找热门地点","authors":"M. Benkert, B. Djordjevic, Joachim Gudmundsson, T. Wolle","doi":"10.1142/S0218195910003189","DOIUrl":null,"url":null,"abstract":"Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects, opening new options for a better understanding of the processes involved. We investigate spatio-temporal movement patterns in large tracking data sets. Specifically we study so-called 'popular places', that is, regions that are visited by many entities. We present upper and lower bounds.","PeriodicalId":285210,"journal":{"name":"International Journal of Computational Geometry and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"Finding Popular Places\",\"authors\":\"M. Benkert, B. Djordjevic, Joachim Gudmundsson, T. Wolle\",\"doi\":\"10.1142/S0218195910003189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects, opening new options for a better understanding of the processes involved. We investigate spatio-temporal movement patterns in large tracking data sets. Specifically we study so-called 'popular places', that is, regions that are visited by many entities. We present upper and lower bounds.\",\"PeriodicalId\":285210,\"journal\":{\"name\":\"International Journal of Computational Geometry and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computational Geometry and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0218195910003189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Geometry and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0218195910003189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects, opening new options for a better understanding of the processes involved. We investigate spatio-temporal movement patterns in large tracking data sets. Specifically we study so-called 'popular places', that is, regions that are visited by many entities. We present upper and lower bounds.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
