COLLECTING AND ANALYZING MOBILITY DATA FROM MOBILE NETWORK
Collecting and analyzing massive mobility data from mobile network is becoming an emerging research topic in past years. It is proved to have great potential in lots of domains, e.g. intelligence traffic system, urban analysis, public safety etc. However, due to variety of data collection mechanisms, the data characteristics are various and need to be abstracted. In this paper, we outline the mobility data collection approaches and identify the differentiation in data characteristics and data process requirements. Then we propose an extendable framework which provides general data abstraction and universal data process flow for various mobility data. The experiment results are also presented to prove the framework.
mobility data mining mobile phone sensing
Shang Weixiong Zhu Yanfeng Zhou Jin Ying Chun
IBM Research Division, China Research Lab
国际会议
北京
英文
810-815
2009-10-18(万方平台首次上网日期,不代表论文的发表时间)