{"title":"预学习移动专业人士的发展轨迹","authors":"W. Oueslati, J. Akaichi","doi":"10.1109/AICCSA.2010.5587015","DOIUrl":null,"url":null,"abstract":"With the advent of pervasive systems and positioning technologies, a huge trajectory data related to moving objects is generated but not efficiently exploited by decision makers. Trajectory data warehouse seems to be a right repository for this kind of data. The aim of this work is to design a Trajectory data warehouse to gather trajectory data collected partially by mobile professionals for analysis and decision purpose.","PeriodicalId":352946,"journal":{"name":"ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pre-learning from mobile professionals' Trajectory\",\"authors\":\"W. Oueslati, J. Akaichi\",\"doi\":\"10.1109/AICCSA.2010.5587015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of pervasive systems and positioning technologies, a huge trajectory data related to moving objects is generated but not efficiently exploited by decision makers. Trajectory data warehouse seems to be a right repository for this kind of data. The aim of this work is to design a Trajectory data warehouse to gather trajectory data collected partially by mobile professionals for analysis and decision purpose.\",\"PeriodicalId\":352946,\"journal\":{\"name\":\"ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICCSA.2010.5587015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICCSA.2010.5587015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pre-learning from mobile professionals' Trajectory
With the advent of pervasive systems and positioning technologies, a huge trajectory data related to moving objects is generated but not efficiently exploited by decision makers. Trajectory data warehouse seems to be a right repository for this kind of data. The aim of this work is to design a Trajectory data warehouse to gather trajectory data collected partially by mobile professionals for analysis and decision purpose.