Mining trajectory sequential patterns, which often have long sequences, poses the challenge of obtaining a smaller, less redundant set of sequential patterns.
Oct 7, 2022 · This study selected some representative sequential pattern mining algorithms and evaluated them with various parameters to understand the effect ...
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In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management ...
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The authors in [35] introduce trajectory patterns as concise descriptions of frequent behaviours in terms of space and time. The authors define a trajectory ...
Article "A Comparative Study of Frequent Pattern Mining with Trajectory Data" Detailed information of the J-GLOBAL is an information service managed by the ...
This paper develops an extension of the sequential pattern mining paradigm that analyzes the trajectories of moving objects and introduces trajectory ...
To address this issue, this paper studies a hotspot regional multi-semantic trajectory pattern mining problem, with the aim of identifying the hotspot pattern ...
ABSTRACT. Frequent pattern mining has been an emerging and active field in data mining research for over a decade. Abundant literature has.
We introduce trajectory patterns as concise descriptions of frequent behaviours, in terms of both space (i.e., the regions of space visited during movements) ...
Frequency pattern mining in trajectory data aids in clustering by providing concise representations, low memory consumption, and efficient execution times, ...