Computing longest duration flocks in trajectory data

by Joachim Gudmundsson, Marc van Kreveld
Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems - GIS '06 ()
Get full text at journal

Abstract

Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in trajectories, namely flocks and meetings. The patterns are large enough subgroups of the moving point objects that exhibit similar movement and proximity for a certain amount of time. We consider the problem of computing a longest duration flock or meeting. We give several exact and approximation algorithms, and also show that some variants are as hard as MaxClique to compute and approximate.

Cite this document (BETA)

Readership Statistics

48 Readers on Mendeley
by Discipline
 
 
 
by Academic Status
 
40% Ph.D. Student
 
10% Student (Master)
 
10% Student (Bachelor)
by Country
 
8% Brazil
 
2% Germany
 
2% India

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Sign up & Download

Already have an account? Sign in