Mobile User Trajectory and Profile Mining: A GSM CGI based spatiotemporal trend extraction framework for recommender systems - Couverture souple

Shad, Shafqat Ali; Chen, Enhong

 
9783659503122: Mobile User Trajectory and Profile Mining: A GSM CGI based spatiotemporal trend extraction framework for recommender systems
Couverture souple
ISBN 10 : 3659503126 ISBN 13 : 9783659503122
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659503126
ISBN 13 
9783659503122
Reliure
Broché
Nombre de pages
104
Coordonnées du fabricant
non disponible
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