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Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)

Conference Paper
Publication Date:
2010
abstract:
In this paper we propose a map matching method to overcoming the limitations of standard best-match reconstruction strategies. We use a more flex- ible approach which consider the k-optimal alternative paths to reconstruct the trajectories from the GPS raw data. The preliminary results, obtained on a real dataset of car users in Milan area, suggest that our method leads to beneficial effects on the successive analysis to be performed such as KNN and clustering.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Database Applications; 62-07; Spatio-temporal data; Map matching; Clustering
List of contributors:
Trasarti, Roberto; Nanni, Mirco
Authors of the University:
NANNI MIRCO
TRASARTI ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/63069
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