Mobility episode detection from CDR's data using switching Kalman filter

  title={Mobility episode detection from CDR's data using switching Kalman filter},
  author={Oleg Batrashev and Amnir Hadachi and Artjom Lind and Eero Vainikko},
The detection of stay-jump-and-moving movement episodes using only cellular data is a big challenge due to the nature of the data. In this article, we propose a method to automatically detect the movement episodes (stay-jump-and-moving) from sparsely sampled spatio-temporal data, in our case Call Detail Records (CDRs), using switching Kalman filter with a new integrated movement model and cellular coverage optimization approach. The algorithm is capable of estimating the movement episodes and… CONTINUE READING


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Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data

2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) • 2017
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