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.

Data Mining and Data-Driven Modelling in Engineering Geology Applications

Angelo Doglioni;Annalisa Galeandro;Vincenzo Simeone
2015-01-01

Abstract

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.
2015
Engineering Geology for Society and Territory. Volume 5: Urban Geology, Sustainable Planning and Landscape Exploitation
978-3-319-09047-4
Springer
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/13115
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