On mining group patterns of mobile users

Author

Yida WANG
Ee Peng LIM, Singapore Management UniversityFollow
San-Yih HWANG

Publication Type

Conference Proceeding Article

Version

publishedVersion

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

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

Citation

WANG, Yida; LIM, Ee Peng; and HWANG, San-Yih. On mining group patterns of mobile users. (2003). Database and Expert Systems Applications: 14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5: Proceedings. 2736, 287-296.
Available at: https://ink.library.smu.edu.sg/sis_research/1032

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

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