{"title":"社区检测基于服务，时间和地点","authors":"Bouyakoub Fayçal M'hamed, B. Abdelkader","doi":"10.1145/2896387.2896424","DOIUrl":null,"url":null,"abstract":"Classical approaches for communities detection are based on the relationship between. The approach, for communities detection, proposed in this paper is based on the interaction of users with services and by considering two parameters: Time and location. The solution is based on five processes: services discovery process, services access process, services access time based process, services access location based process and communities detection process.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Communities detection based services, time and location\",\"authors\":\"Bouyakoub Fayçal M'hamed, B. Abdelkader\",\"doi\":\"10.1145/2896387.2896424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Classical approaches for communities detection are based on the relationship between. The approach, for communities detection, proposed in this paper is based on the interaction of users with services and by considering two parameters: Time and location. The solution is based on five processes: services discovery process, services access process, services access time based process, services access location based process and communities detection process.\",\"PeriodicalId\":342210,\"journal\":{\"name\":\"Proceedings of the International Conference on Internet of things and Cloud Computing\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Internet of things and Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2896387.2896424\",\"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 International Conference on Internet of things and Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2896387.2896424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communities detection based services, time and location
Classical approaches for communities detection are based on the relationship between. The approach, for communities detection, proposed in this paper is based on the interaction of users with services and by considering two parameters: Time and location. The solution is based on five processes: services discovery process, services access process, services access time based process, services access location based process and communities detection process.
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