{"title":"基于GSM通话记录的不同用户分组方法分析","authors":"S. S. Deshpande, N. Chauhan","doi":"10.1109/CSNT.2011.162","DOIUrl":null,"url":null,"abstract":"Analysis of Location-aware data plays an important role in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily available as an indication of the user location, without any additional hardware or network services. With this location data and other context variables groups of mobile users who are advertised to the found together can be traced. The objective of this paper is to review the works carried out by different group of researchers using varied techniques in Discovering User context, Mobility Prediction of Mobile users, Discovering social groups, Fraud detection in mobile communications networks etc.","PeriodicalId":294850,"journal":{"name":"2011 International Conference on Communication Systems and Network Technologies","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of Different Clustering Approaches for Grouping Users on the Basis of GSM Call Logs\",\"authors\":\"S. S. Deshpande, N. Chauhan\",\"doi\":\"10.1109/CSNT.2011.162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis of Location-aware data plays an important role in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily available as an indication of the user location, without any additional hardware or network services. With this location data and other context variables groups of mobile users who are advertised to the found together can be traced. The objective of this paper is to review the works carried out by different group of researchers using varied techniques in Discovering User context, Mobility Prediction of Mobile users, Discovering social groups, Fraud detection in mobile communications networks etc.\",\"PeriodicalId\":294850,\"journal\":{\"name\":\"2011 International Conference on Communication Systems and Network Technologies\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communication Systems and Network Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2011.162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communication Systems and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2011.162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Different Clustering Approaches for Grouping Users on the Basis of GSM Call Logs
Analysis of Location-aware data plays an important role in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily available as an indication of the user location, without any additional hardware or network services. With this location data and other context variables groups of mobile users who are advertised to the found together can be traced. The objective of this paper is to review the works carried out by different group of researchers using varied techniques in Discovering User context, Mobility Prediction of Mobile users, Discovering social groups, Fraud detection in mobile communications networks etc.