Synthetic Generation of Cellular Network Positioning Data F. Giannotti, A. Mazzoni, S. Puntoni, and C. Renso   View Paper (PDF)   Return to Session 1: Moving Objects Abstract The flow of data coming from wireless telecommunication devices enables a novel classes of applications of high societal and economic impact. However, to make this flow of data useful, techniques for the discovery of consumable and concise knowledge out of these raw data have to be developed. Within the long term goal of devising knowledge discovery and analysis methods for trajectories of moving objects, this paper focuses on providing a system to build benchmark datasets for cellular devices p ... ©2006 Association for Computing Machinery