Data-Mining in Engineering Geology

Angelo Doglioni (*) & Vincenzo Simeone (*)
(*) Dipartimento di Scienze dell'Ingegneria Civile e dell'Architettura, Politecnico di Bari, Via Orabona 4, 70125 Bari, Italy.

The use of data-mining numerical techniques has been recently introduced in a lot of scientific and professional fields and it is an interesting challenge also for geology. Data mining permits to extract useful information from data, looking for possible patterns contained by measures or data. Once this scientific knowledge is available, it can be profitably used for many purpose both scientific and management purposes. Recently, the authors successfully exploited data-mining for different engineering geological problems. In particular, groundwater dynamics and landslide reactivation were investigated by a hybrid evolutionary modelling paradigm for data mining (EPR-MOGA). It allows for the construction of explicit model equations, starting from measured data, thus allowing to use these models for forecasting and management issues.