Scalable Mining of Common Routes in Mobile Communication Network Traffic Data
作者： Olof Görnerup
DOI: 10.1007/978-3-642-31205-2_7
关键词:
摘要: A probabilistic method for inferring common routes from mobile communication network traffic data is presented. Besides providing mobility information, valuable in a multitude of application areas, the has dual purpose enabling efficient coarse-graining as well anonymisation by mapping individual sequences onto routes. The approach to represent spatial trajectories Cell ID that are grouped into using locality-sensitive hashing and graph clustering. demonstrated be scalable, accurately group an evaluation set GPS tagged data.
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