路由检测和基于移动性的聚类

M. Saravanan, S. Pravinth, Pavan Holla
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引用次数: 5

摘要

电信公司维护着一个包含所有用户通信的大型数据库,用于计费。网络供应商目前正在利用这些数据来评估用户的当前需求。电信运营商的日志不仅包含连接数据,还包含用户的位置数据。分析这个社交网络以及位置数据有助于确定人们之间的社交互动。本文将讨论一种新的方法来挖掘用户的日常路线和分析城市范围内的大规模移动模式的电信数据。将此与从相同数据生成的用户配置文件相结合,我们概述了基于位置的广告的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Route detection and mobility based clustering
Telecommunication companies maintain a large database of all user communications for billing purpose. This data is now being utilized by the network providers to assess the current needs of the subscribers. Logs of Telecommunication providers not only contain connectivity data but also location data of users. Analyzing this social network along with location data helps identify social interactions amongst people. This paper will discuss a novel method to mine the daily routes of users and analyze city-wide mass movement patterns from telecommunication data. Combining this with the user profiles generated from the same data, we outline a framework for Location-Based-Advertising.
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