PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Trasarti R., Giannotti F., Pedreschi D., Nanni M., Renso C. Advanced knowledge discovery on movement data with the GeoPKDD system. In: EDBT/ICDT '10 - 13th International Conference on Extending Database Technology (Lausanne, Switzerland, 22-26 March 2010). Proceedings, pp. 693 - 696. ACM, 2010.
 
 
Abstract
(English)
The growing availability of mobile devices produces an enor- mous quantity of personal tracks which calls for advanced analysis methods capable of extracting knowledge out of massive trajectories datasets. In this paper we present an experiment on a real world scenario that demonstrates the strong analytical power of massive, raw trajectory data made available as a by-product of telecom services, in unveiling the complexity of urban mobility. The experiment has been made possible by the GeoPKDD system, an integrated plat- form for complex analysis of mobility data. The system com- bines spatio-temporal querying capabilities with data min- ing and semantic technologies, thus providing a full support for the Mobility Knowledge Discovery process.
URL: http://portal.acm.org/citation.cfm?id=1739129&CFID=6070969&CFTOKEN=83886512
DOI: 10.1145/1739041.1739129
Subject Mobility
Data Mining
Privacy
H.2.8 Database Management. Data mining
62-07


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