Mobile User Trajectory and Profile Mining

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A GSM CGI based spatiotemporal trend extraction framework for recommender systems

ISBN: 3659503126
ISBN 13: 9783659503122
Autor: Shad, Shafqat Ali/Chen, Enhong
Verlag: LAP LAMBERT Academic Publishing
Umfang: 104 S.
Erscheinungsdatum: 09.01.2014
Auflage: 1/2013
Format: 0.7 x 22 x 15
Gewicht: 173 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6049544 Kategorie:

Beschreibung

Recent development in smart devices like Smart phones, Ipad, IPod, PDAs 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 users mobility history. This mobility profile represents users behavioral patterns, spatiotemporal trends; stay points visit history, habits and context, where stay point information is the basic entity to understand users 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.

Autorenporträt

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.

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