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Visual Mobility Analysis using T-Warehouse

Author

Listed:
  • A. Raffaetà

    (Università Ca’ Foscari Venezia, Italy)

  • L. Leonardi

    (Università Ca’ Foscari Venezia, Italy)

  • G. Marketos

    (University of Piraeus, Greece)

  • G. Andrienko

    (Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany)

  • N. Andrienko

    (Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany)

  • E. Frentzos

    (University of Piraeus, Greece)

  • N. Giatrakos

    (University of Piraeus, Greece)

  • S. Orlando

    (Università Ca’ Foscari Venezia, Italy)

  • N. Pelekis

    (University of Piraeus, Greece)

  • A. Roncato

    (Università Ca’ Foscari Venezia, Italy)

  • C. Silvestri

    (Università Ca’ Foscari Venezia, Italy)

Abstract

Technological advances in sensing technologies and wireless telecommunication devices enable research fields related to the management of trajectory data. The challenge after storing the data is the implementation of appropriate analytics for extracting useful knowledge. However, traditional data warehousing systems and techniques were not designed for analyzing trajectory data. In this paper, the authors demonstrate a framework that transforms the traditional data cube model into a trajectory warehouse. As a proof-of-concept, the authors implement T-Warehouse, a system that incorporates all the required steps for Visual Trajectory Data Warehousing, from trajectory reconstruction and ETL processing to Visual OLAP analysis on mobility data.

Suggested Citation

  • A. Raffaetà & L. Leonardi & G. Marketos & G. Andrienko & N. Andrienko & E. Frentzos & N. Giatrakos & S. Orlando & N. Pelekis & A. Roncato & C. Silvestri, 2011. "Visual Mobility Analysis using T-Warehouse," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 7(1), pages 1-23, January.
    • Handle: RePEc:igg:jdwm00:v:7:y:2011:i:1:p:1-23
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