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Visual Mobility Analysis using T-Warehouse

A. Raffaetà, L. Leonardi, G. Marketos, G. Andrienko, N. Andrienko, E. Frentzos, N. Giatrakos, S. Orlando, N. Pelekis, A. Roncato, C. Silvestri

Source Title: International Journal of Data Warehousing and Mining (IJDWM)7(1)

ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781613506332|DOI: 10.4018/jdwm.2011010101

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MLA

Raffaetà, A., et al. "Visual Mobility Analysis using T-Warehouse." IJDWM vol.7, no.1 2011: pp.1-23. http://doi.org/10.4018/jdwm.2011010101

APA

Raffaetà, A., Leonardi, L., Marketos, G., Andrienko, G., Andrienko, N., Frentzos, E., Giatrakos, N., Orlando, S., Pelekis, N., Roncato, A., & Silvestri, C. (2011). Visual Mobility Analysis using T-Warehouse. International Journal of Data Warehousing and Mining (IJDWM), 7(1), 1-23. http://doi.org/10.4018/jdwm.2011010101

Chicago

Raffaetà, A., et al. "Visual Mobility Analysis using T-Warehouse," International Journal of Data Warehousing and Mining (IJDWM) 7, no.1: 1-23. http://doi.org/10.4018/jdwm.2011010101

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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.

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Visual Mobility Analysis using T-Warehouse

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