During the last decade, the increasing monitoring and measurement data availability as well as a diffused power of computation, is encouraging scientists and practitioners at using data-mining techniques to improve the knowledge of natural and engineering system and to model identified from data, namely data-driven models. Interesting results, both from the practical and scientific viewpoints can be obtained. Here a review of some of the mostly used data-driven techniques is given, showing how they are used in an Engineering Geology framework. Some specific examples are provided, emphasizing potentialities of data-driven modelling applied to Engineering Geology.
CITATION STYLE
Doglioni, A., Galeandro, A., & Simeone, V. (2015). Data mining and data-driven modelling in engineering geology applications. In Engineering Geology for Society and Territory - Volume 5: Urban Geology, Sustainable Planning and Landscape Exploitation (pp. 647–650). Springer International Publishing. https://doi.org/10.1007/978-3-319-09048-1_126
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