Efficient mining of group patterns for mobile users
In this thesis, we propose novel approaches to derive useful grouping information from a movement database of users' locations gathered from mobile devices over a time period.
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2008
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sg-ntu-dr.10356-25262023-03-04T00:45:56Z Efficient mining of group patterns for mobile users Wang, Yida Lim Ee Peng School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Database management In this thesis, we propose novel approaches to derive useful grouping information from a movement database of users' locations gathered from mobile devices over a time period. DOCTOR OF PHILOSOPHY (SCE) 2008-09-17T09:04:45Z 2008-09-17T09:04:45Z 2005 2005 Thesis Wang, Y. (2005). Efficient mining of group patterns for mobile users. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2526 10.32657/10356/2526 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Information systems::Database management Wang, Yida Efficient mining of group patterns for mobile users |
description |
In this thesis, we propose novel approaches to derive useful grouping information from a movement database of users' locations gathered from mobile devices over a time period. |
author2 |
Lim Ee Peng |
author_facet |
Lim Ee Peng Wang, Yida |
format |
Theses and Dissertations |
author |
Wang, Yida |
author_sort |
Wang, Yida |
title |
Efficient mining of group patterns for mobile users |
title_short |
Efficient mining of group patterns for mobile users |
title_full |
Efficient mining of group patterns for mobile users |
title_fullStr |
Efficient mining of group patterns for mobile users |
title_full_unstemmed |
Efficient mining of group patterns for mobile users |
title_sort |
efficient mining of group patterns for mobile users |
publishDate |
2008 |
url |
https://hdl.handle.net/10356/2526 |
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1759857822968840192 |