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|Title:||FARM: Feature-assisted aggregate route mining in trajectory data|
|Citation:||Kashyap, S., Roy, S., Lee, M.L., Hsu, W. (2009). FARM: Feature-assisted aggregate route mining in trajectory data. ICDM Workshops 2009 - IEEE International Conference on Data Mining : 604-609. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDMW.2009.31|
|Abstract:||An aggregate route of a set of trajectories is the representative movement direction of the set. Existing solutions address the problem of finding representative routes by finding clusters in the data with minimum intra-cluster deviation and then deriving a simplified trajectory to represent each cluster. However, existing similarity measures for trajectories are not discriminative and are sensitive to noise. This paper presents FARM, a framework for extracting aggregate routes from trajectory data. FARM first transforms the trajectories into a feature space. Next, it applies spectral clustering to find clusters in the feature space. Finally, we find a representative route for each cluster obtained. Experimental studies demonstrate the effectiveness of the proposed method. © 2009 IEEE.|
|Source Title:||ICDM Workshops 2009 - IEEE International Conference on Data Mining|
|Appears in Collections:||Staff Publications|
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