Görnerup, Olof (2012) Scalable Mining of Common Routes in Mobile Communication Network Traffic Data. In: Tenth International Conference on Pervasive Computing, 18-22 June 2012, Newcastle, UK. (In Press)
|PDF - Accepted Version|
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 method has the dual purpose of enabling efficient coarse-graining as well as anonymisation by mapping individual sequences onto common routes. The approach is to represent spatial trajectories by Cell ID sequences that are grouped into routes using locality-sensitive hashing and graph clustering. The method is demonstrated to be scalable, and to accurately group sequences using an evaluation set of GPS tagged data.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Olof Görnerup|
|Deposited On:||29 Mar 2012 12:55|
|Last Modified:||10 Sep 2012 10:26|
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