{"title":"面向移动网络运营商的智能数据可视化服务平台","authors":"Naz Albayrak, E. Zeydan","doi":"10.23919/TMA.2018.8506552","DOIUrl":null,"url":null,"abstract":"In this demo, we are proposing an intelligent heatmap service that can be utilized by Mobile Network Operators (MNOs). The demo platform consists of big data enabled ecosystem that can perform analytics over MNO's data which can be serviced to third parties as location based service. As a use case scenario, we are investigating how does the density of mobile subscriber change during the day of the week in Istanbul's historic peninsula. Our results interestingly indicate that based on the heatmap densities built by number of signals received from mobile subscribers, weekdays can be more crowded than weekends in historical touristic locations of Istanbul.","PeriodicalId":6607,"journal":{"name":"2018 Network Traffic Measurement and Analysis Conference (TMA)","volume":"255 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Intelligent Data Visualization Service Platform for Mobile Network Operators\",\"authors\":\"Naz Albayrak, E. Zeydan\",\"doi\":\"10.23919/TMA.2018.8506552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demo, we are proposing an intelligent heatmap service that can be utilized by Mobile Network Operators (MNOs). The demo platform consists of big data enabled ecosystem that can perform analytics over MNO's data which can be serviced to third parties as location based service. As a use case scenario, we are investigating how does the density of mobile subscriber change during the day of the week in Istanbul's historic peninsula. Our results interestingly indicate that based on the heatmap densities built by number of signals received from mobile subscribers, weekdays can be more crowded than weekends in historical touristic locations of Istanbul.\",\"PeriodicalId\":6607,\"journal\":{\"name\":\"2018 Network Traffic Measurement and Analysis Conference (TMA)\",\"volume\":\"255 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Network Traffic Measurement and Analysis Conference (TMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/TMA.2018.8506552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Network Traffic Measurement and Analysis Conference (TMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/TMA.2018.8506552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Intelligent Data Visualization Service Platform for Mobile Network Operators
In this demo, we are proposing an intelligent heatmap service that can be utilized by Mobile Network Operators (MNOs). The demo platform consists of big data enabled ecosystem that can perform analytics over MNO's data which can be serviced to third parties as location based service. As a use case scenario, we are investigating how does the density of mobile subscriber change during the day of the week in Istanbul's historic peninsula. Our results interestingly indicate that based on the heatmap densities built by number of signals received from mobile subscribers, weekdays can be more crowded than weekends in historical touristic locations of Istanbul.