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
@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} }