PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Raffaetą A., Leonardi L., Marketos G., Andrienko G. L., Andrienko N. V., Frentzos E., Giatrakos N., Orlando S., Pelekis N., Roncato A., Silvestri C. Visual mobility analysis using T-warehouse. In: International Journal of Data Warehousing and Mining, vol. Volume 7 (1) pp. 1 - 23. IGI Global, 2011.
 
 
Abstract
(English)
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.
URL: http://www.igi-global.com/viewtitlesample.aspx?id=49638
DOI: 10.4018/jdwm.2011010101
Subject Knowledge Discovery in Databases
Moving Objects
Trajectories
H.0 Information Systems. General
H.2.8 Database Applications


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