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.
@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},
year = {2010}
}