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.

Bibliographic Details
Main Author: Wang, Yida
Other Authors: Lim Ee Peng
Format: Thesis
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/2526
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author Wang, Yida
author2 Lim Ee Peng
author_facet Lim Ee Peng
Wang, Yida
author_sort Wang, Yida
collection NTU
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.
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institution Nanyang Technological University
last_indexed 2025-02-19T03:20:12Z
publishDate 2008
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spelling ntu-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
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Database management
Wang, Yida
Efficient mining of group patterns for mobile users
title 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_short Efficient mining of group patterns for mobile users
title_sort efficient mining of group patterns for mobile users
topic DRNTU::Engineering::Computer science and engineering::Information systems::Database management
url https://hdl.handle.net/10356/2526
work_keys_str_mv AT wangyida efficientminingofgrouppatternsformobileusers