Goals

Spatio-temporal, geo-referenced data are growing rapidly, due to the collection of telecom data from mobile phones and other location-aware devices, as well as the daily collection of transaction data through database systems, network traffic controllers, web servers, sensor networks.

In this context, the general goal of the GeoPKDD project is to develop theory, techniques and systems for knowledge discovery and delivery, based on new automated privacy-preserving methods for extracting user-consumable knowledge from raw data referenced in space and time.

Particular emphasis is upon:

• devising methods for representing, storing and managing moving objects, which change their position in time, and possibly also their shape or other features, together with their trajectories, with varying levels of accuracy and certainty,
• devising spatio-temporal knowledge discovery and data mining methods and algorithms for moving objects and their trajectories,
• devising native techniques to make methods and algorithms intrinsically privacy-preserving, as data source typically contains personal location-aware sensitive data.