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arXiv · 1512.08150

Towards Distributed Convoy Pattern Mining

Faisal Orakzai·Thomas Devogele·Toon Calders
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Abstract

Mining movement data to reveal interesting behavioral patterns has gained attention in recent years. One such pattern is the convoy pattern which consists of at least m objects moving together for at least k consecutive time instants where m and k are user-defined parameters. Existing algorithms for detecting convoy patterns, however do not scale to real-life dataset sizes. Therefore a distributed algorithm for convoy mining is inevitable. In this paper, we discuss the problem of convoy mining and analyze different data partitioning strategies to pave the way for a generic distributed convoy pattern mining algorithm.

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Faisal Orakzai, Thomas Devogele, Toon Calders. 2015-12-26. Towards Distributed Convoy Pattern Mining. https://doi.org/10.1145/2820783.2820840

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