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Aug 6, 2020 · Examples of applications and services could be animal analysis, social recommendations, and traffic planning, where data would arrive from chips ...
Analysis of Co-movement Pattern Mining Methods for Recommendation. Download PDF · Sergio Torrijos, Alejandro Bellogín. Published: 31 Dec 2019, ...
In this work, we analyse the extent to which these techniques can be applied to that type of data and under which circumstances they might be useful.
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Location-Based Social Networks allow users to share the Pointsof-Interest they visit, hence creating trajectories throughout their usual lives – even though ...
Oct 22, 2024 · Our study demonstrates the effectiveness of the proposed algorithm as well as its value towards a tool to profile semantically rich behaviour ...
Aug 10, 2023 · Our results validate the efficiency of the proposed index and mining algorithm, which runs remarkably faster than the two baseline methods.
Missing: Recommendation. | Show results with:Recommendation.
ABSTRACT. Discovering co-movement patterns from large-scale trajec- tory databases is an important mining task and has a wide spectrum of applications.
Sep 22, 2022 · We propose a co-movement pattern similarity measure, which facilitates the comparison between the predicted clusters and the actual ones.
The first category, moving objects pattern mining, includes moving objects clustering method. (i.e., swarm pattern) and periodic pattern detection method.
To address such challenges, we propose a method called group movement pattern mining based on similarity (GMPMS) to discover tourist groups. To avoid large ...