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WMCSA
2003
IEEE

Proximity Mining: Finding Proximity using Sensor Data History

14 years 21 days ago
Proximity Mining: Finding Proximity using Sensor Data History
Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many locationsensing systems have been developed, but none of the systems for the indoor environment have been widely adopted. In this paper we propose Proximity Mining, a new approach to build location information by mining sensor data. The Proximity Mining does not use geometric views for location modeling, but automatically discovers symbolic views by mining time series data from sensors which are placed in surroundings. We deal with trend curves representing time series sensor data, and use their topological characteristics to classify locations where the sensors are placed. Keywords — Proxymity Mining; Location modeling; Zero configuration; Location-aware computing; Context-aware computing; Pervasive computing; Ubiquitous computing; Spatial Data Mining; Real-space computing
Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where WMCSA
Authors Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara
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