Title

On Mining Group Patterns of Mobile Users

Publication Type

Conference Proceeding Article

Publication Date

9-2003

Abstract

In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group patterns of users are determined by a distance threshold and a minimum duration. To discover group patterns, we propose the AGP and VG-growth algorithms that are derived from the Apriori and FP-growth algorithms respectively. We further evaluate the efficiencies of these two algorithms using synthetically generated user movement data.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

Database and Expert Systems Applications: 14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5: Proceedings

Volume

2736

First Page

287

Last Page

296

ISBN

9783540452270

Identifier

10.1007/978-3-540-45227-0_29

Publisher

Springer Verlag

City or Country

Prague, Czech Republic

Additional URL

http://dx.doi.org/10.1007/978-3-540-45227-0_29