Mobile User Trajectory and Profile Mining

Recent development in smart devices like Smart phones, Ipad, IPod, PDA's and portable wireless sensors network devices made the mobility data a valuable research field nowadays, where the mobility data can be used for the development of location based services (LBS) like Early warning system, Route prediction, City wide sensing, Mobile marketing, Social networking thorough mobility profile building against user's mobility history. This mobility profile represents user's behavioral patterns, spatiotemporal trends; stay points visit history, habits and context, where stay point information is the basic entity to understand user's trends. Because of its low cost coverage and easy availability GSM Cell Global Identity (CGI) is most appropriate method to be used for user mobility profiling. In this book we focused mainly on the precise mobility profile building thorough trajectory and behavioral pattern mining using the GSM CGI Cell-ID, where all the concerned issues like precise spatial extraction, stay points detection and mobility profiling are addressed properly thorough the proposed framework. The book propose utilization of both spatiotemporal and semantic information.

Autorentext

Prof.Dr.Shafqat Ali Shad is Assistant Professor and joined COMSATS,Wah Cantt, Pakistan in 2013.He completed his PhD in Computer Science from USTC,China under CSC grant in 2013 and Master with Gold Medal from COMSATS, Pakistan in 2004.He worked as Dy.Director ICT,Planning Commission and ICT Consultant, Asian Development Bank for 7 years.

Klappentext

Recent development in smart devices like Smart phones, Ipad, IPod, PDA's and portable wireless sensors network devices made the mobility data a valuable research field nowadays, where the mobility data can be used for the development of location based services (LBS) like Early warning system, Route prediction, City wide sensing, Mobile marketing, Social networking thorough mobility profile building against user's mobility history. This mobility profile represents user's behavioral patterns, spatiotemporal trends; stay points visit history, habits and context, where stay point information is the basic entity to understand user's trends. Because of its low cost coverage and easy availability GSM Cell Global Identity (CGI) is most appropriate method to be used for user mobility profiling. In this book we focused mainly on the precise mobility profile building thorough trajectory and behavioral pattern mining using the GSM CGI Cell-ID, where all the concerned issues like precise spatial extraction, stay points detection and mobility profiling are addressed properly thorough the proposed framework. The book propose utilization of both spatiotemporal and semantic information.