2010
Conference article  Restricted

Advanced knowledge discovery on movement data with the GeoPKDD system

Trasarti R., Giannotti F., Pedreschi D., Nanni M., Renso C.

Privacy  Database Management. Data mining  Mobility  Data Mining 

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.

Source: 13th International Conference on Extending Database Technology, pp. 693–696, Lausanne, Switzerland, 22-26 March 2010


Metrics



Back to previous page
BibTeX entry
@inproceedings{oai:it.cnr:prodotti:92138,
	title = {Advanced knowledge discovery on movement data with the GeoPKDD system},
	author = {Trasarti R. and Giannotti F. and Pedreschi D. and Nanni M. and Renso C.},
	doi = {10.1145/1739041.1739129},
	booktitle = {13th International Conference on Extending Database Technology, pp. 693–696, Lausanne, Switzerland, 22-26 March 2010},
	year = {2010}
}