About: Inter-Call Mobility Model: A Spatio-temporal Refinement of Call Data Records Using a Gaussian Mixture Model     Goto   Sponge   NotDistinct   Permalink

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Description
  • With global mobile phone penetration nearing 100%, cellular Call Data Records (CDRs) provide a large-scale and ubiquitous, but also sparse and skewed snapshot of human mobility. It may be difficult or inappropriate to reach strong conclusions about user movement based on such data without proper understanding of user movement between call records. Based on an analysis of a real-world trace, we propose a novel, probabilistic Inter-Call Mobility (ICM) model of users' position in between calls. The ICM model combines Gaussian mixtures to build a general, comprehensive spatio-temporal refinement of CDRs. We demonstrate that ICM model's application yields strik-ingly different conclusions to the existing models when applied to basic CDR analyses, such as user proximity probability.
  • With global mobile phone penetration nearing 100%, cellular Call Data Records (CDRs) provide a large-scale and ubiquitous, but also sparse and skewed snapshot of human mobility. It may be difficult or inappropriate to reach strong conclusions about user movement based on such data without proper understanding of user movement between call records. Based on an analysis of a real-world trace, we propose a novel, probabilistic Inter-Call Mobility (ICM) model of users' position in between calls. The ICM model combines Gaussian mixtures to build a general, comprehensive spatio-temporal refinement of CDRs. We demonstrate that ICM model's application yields strik-ingly different conclusions to the existing models when applied to basic CDR analyses, such as user proximity probability. (en)
Title
  • Inter-Call Mobility Model: A Spatio-temporal Refinement of Call Data Records Using a Gaussian Mixture Model
  • Inter-Call Mobility Model: A Spatio-temporal Refinement of Call Data Records Using a Gaussian Mixture Model (en)
skos:prefLabel
  • Inter-Call Mobility Model: A Spatio-temporal Refinement of Call Data Records Using a Gaussian Mixture Model
  • Inter-Call Mobility Model: A Spatio-temporal Refinement of Call Data Records Using a Gaussian Mixture Model (en)
skos:notation
  • RIV/68407700:21230/12:00192730!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 142332
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00192730
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • mobility model; call data record; Gaussian mixture model; spatio-temporal (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [160D7DEE3A35]
http://linked.open...v/mistoKonaniAkce
  • Orlando, FL
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • 2012 Proceedings IEEE INFOCOM
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
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  • Kencl, Lukáš
  • Ficek, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000309279500053
http://linked.open.../riv/zahajeniAkce
issn
  • 0743-166X
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/INFCOM.2012.6195786
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-0774-1
http://localhost/t...ganizacniJednotka
  • 21230
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