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Towards a mobile and context-aware framework from crowdsourced data

Capturing users' spatio-temporal context by recognizing their interests, locations, history and activities, and thereafter providing context-aware services is a challenging task. In this paper, we propose a spatio-temporal zoning model that takes different context dimensions into account and tr...

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Bibliographic Details
Main Authors: Ahmad, Akhlaq, Rahman, Md Abdur, Afyouni, Imad, Rehman, Faizan Ur, Sadiq, Bilal, Wahiddin, Mohamed Ridza
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2014
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/58187/1/58187-Towards%20a%20mobile%20and%20context-aware%20framework%20from%20crowdsourced%20data-edited.pdf
http://irep.iium.edu.my/58187/2/58187-Towards%20a%20mobile%20and%20context-aware%20framework%20from%20crowdsourced%20data_SCOPUS.pdf
http://irep.iium.edu.my/58187/
http://ieeexplore.ieee.org/document/7020672/
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http://irep.iium.edu.my/58187/1/58187-Towards%20a%20mobile%20and%20context-aware%20framework%20from%20crowdsourced%20data-edited.pdf
http://irep.iium.edu.my/58187/2/58187-Towards%20a%20mobile%20and%20context-aware%20framework%20from%20crowdsourced%20data_SCOPUS.pdf
http://irep.iium.edu.my/58187/
http://ieeexplore.ieee.org/document/7020672/

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