Swarm

By Zhenhui Jessie Li, Bolin Ding, Jiawei Han, R. Kays. Proceedings of the VLDB Endowment, 2010

366 citations recorded by the source corpus.

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Spatio-Temporal Data Mining (2017, methodology): “Algorithms for detecting moving clusters of trajectories have been developed in [Kalnis et al. 2005] and in subsequent studies [Dodge et al. 2008; Jeung et al. 2008; Li et al. 2010].”
A Survey on Trajectory Data Management, Analytics, and Learning (2020, background): “n sub-trajectory covered by a set of trajectories with at least k circles with the same-radius. Jeung et al. [91] extended the concept of a convoy, where the circles can have various radii. Li et al. [108] proposed the concept of a swarm to solve the problem that a sub-trajectory has to be a continu”
A Vademecum on Blockchain Technologies: When, Which, and How (2019, neutral): “Off-chains solutions are the best in terms of performance; raw-data are stored off-chain, while it is possible to handle meta-data or hashed-data on-chain as a complementary storage (e.g., Swarm [114] and Filecoin [115]).”