{"title":"挖掘移动传感器数据的社会行为","authors":"Huan Li, Yuanjie Gou","doi":"10.1145/3055601.3055620","DOIUrl":null,"url":null,"abstract":"Sensor devices widely used on vehicles enable the massive data collection for social behavior analysis. We mined trajectory data and on-board sensor data for point-of-interest (POI) locations, which further indicate public and personal social properties. We propose a method to rank the significance of the POIs that represent those social behaviors.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"890 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mining Mobile Sensor Data for Social Behaviors\",\"authors\":\"Huan Li, Yuanjie Gou\",\"doi\":\"10.1145/3055601.3055620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensor devices widely used on vehicles enable the massive data collection for social behavior analysis. We mined trajectory data and on-board sensor data for point-of-interest (POI) locations, which further indicate public and personal social properties. We propose a method to rank the significance of the POIs that represent those social behaviors.\",\"PeriodicalId\":360957,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on Social Sensing\",\"volume\":\"890 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on Social Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3055601.3055620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Workshop on Social Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055601.3055620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor devices widely used on vehicles enable the massive data collection for social behavior analysis. We mined trajectory data and on-board sensor data for point-of-interest (POI) locations, which further indicate public and personal social properties. We propose a method to rank the significance of the POIs that represent those social behaviors.