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A System to Generate Mobile Data Based on Real User Behavior

  • Runqiang Du
  • Jiajin Huang
  • Zhisheng Huang
  • Hui Wang
  • Ning Zhong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8182)

Abstract

Mobile data generated by a mobile phone in a GSM network can indirectly reflect the change of a user’s positions. However, it is difficult to get these data due to the privacy issue. The generation of simulated mobile data provides an alternate method to solve the problem. This paper designs a system called a generation system of mobile data based on real user behavior. This system can simulate the communication events to generate mobile data and extract the trajectory points of users’ past activities with some appropriate semantic annotations.

Keywords

Mobile Phone Mobile Data Semantic Annotation Trajectory Point Subway Station 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Runqiang Du
    • 1
  • Jiajin Huang
    • 1
  • Zhisheng Huang
    • 2
  • Hui Wang
    • 1
  • Ning Zhong
    • 1
    • 3
  1. 1.International WIC InstituteBeijing University of TechnologyChina
  2. 2.Knowledge Representation and Reasoning GroupVrije University AmsterdamThe Netherlands
  3. 3.Department of Life Science and InformaticsMaebashi Institute of TechnologyMaebashiJapan

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