Title

Mining Mobile Group Patterns: A Trajectory-based Approach

Publication Type

Conference Proceeding Article

Publication Date

5-2005

Abstract

In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on a trajectory model. Group patterns of users are determined by distance threshold and minimum time duration. A trajectory model of user movement is adopted to save storage space and to cope with untracked or disconnected location data. To discover group patterns, we propose ATGP algorithm and TVG-growth that are derived from the Apriori and VG-growth algorithms respectively.

Discipline

Databases and Information Systems

Research Areas

Data Management and Analytics

Publication

Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKKD 2005)

First Page

713

Last Page

718

ISBN

9783540319351

Identifier

10.1007/11430919_82

Publisher

Springer Verlag

City or Country

Hanoi, Vietnam

Additional URL

http://dx.doi.org/10.1007/11430919_82