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Trajectory Simplification: On Minimizing the Direction-based Error

Summary: Defines Min-Error for direction-preserving trajectory simplification (DPTS) under a fixed output size, removing reliance on user-specified tolerances by directly minimizing error. Proposes two exact algorithms and a 2-approximation algorithm; experiments on real datasets validate efficiency and accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11161
Venue
VLDB
Year
2015
Pagerank
8.0191031e-05
Overall Rank
2,850 | 80.18%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,115 Finding Time Period-Based Most Frequent Path in Big Trajectory Data 2013 SIGMOD 0.00013894562
3,088 Direction-Preserving Trajectory Simplification 2013 VLDB 7.5936173e-05
3,926 EBM - An Entropy-Based Model to Infer Social Strength from Spatiotemporal Data 2013 SIGMOD 6.6258079e-05
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