Detecting expectation-based spatio-temporal clusters formed during opportunistic sensing
Pervasive Computing and Communications Workshops（2014）
摘要
Detecting clusters in the encounter graphs generated from reality mining data is one way of detecting the social and spatial relationships of participants. However, many of the existing clustering algorithms do not factor in the time since encounters, and can only be used to describe a single aggregated snapshot of the data. This paper describes a spatio-temporal clustering technique which has been used to reveal the transient communities within the data.
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关键词
data mining,pattern clustering,spatiotemporal phenomena,statistical analysis,clustering algorithms,data mining,opportunistic sensing,spatiotemporal cluster detection,spatiotemporal clustering technique
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