Proximity mining: finding proximity using sensor data history
作者： Takada , Kurihara , Hirotsu , Sugawara
DOI: 10.1109/MCSA.2003.1240774
关键词:
摘要: Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many location-sensing systems have been developed, but none of the for indoor environment widely adopted. We propose proximity mining, a new approach build location information by mining sensor data. The does not use geometric views modeling, automatically discovers symbolic time series data from sensors which placed in surroundings. deal with trend curves representing data, their topological characteristics classify locations placed.
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