TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering

By Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzalez. Proceedings of the VLDB Endowment, 2008

375 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mining Individual Life Pattern Based on Location History (2009, background): “On this topic, some literatures aim at performing traditional data mining tasks on spatial-temporal data, like classification [1], clustering [2], pattern mining [3], [4] and outlier detection [5].”
Efficient agglomerative hierarchical clustering (2015, background): “In Lee et al. (2007), a partition-and-group framework was proposed to discover common sub-trajectories from a trajectory database using trajectory-based clustering which is combined with a proposed region-based clustering in Lee et al. (2008).”
Discovering popular routes from trajectories (2011, methodology): “The search of popular routes in light of past movements is highly relevant to trajectory processing/querying issues, including pattern mining [7], [2], [1], [8], trajectory clustering [9], [10], hot route discovery [11], [12], trajectory prediction [3], [4], [13], etc.”
A Survey on Trajectory Data Management, Analytics, and Learning (2020, methodology): “For urban data, there are mainly two types of trajectory classication problems: 1) similaritybased classication [94]; 2) transportation modes and activities classication [45, 205] which was reviewed recently by [204].”