Data Mining and Data-Driven Modelling in Engineering Geology Applications

被引:2
|
作者
Doglioni, Angelo [1 ]
Galeandro, Annalisa [1 ]
Simeone, Vincenzo [1 ]
机构
[1] Tech Univ Bari, Dept Civil Engn & Architecture, I-70125 Bari, Italy
关键词
Data mining; Data-driven; Non-linear behavior; Scientific knowledge discovery; Numerical modelling; Engineering geology; WAVELET TRANSFORM; FEATURES; SOIL;
D O I
10.1007/978-3-319-09048-1_126
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:647 / 650
页数:4
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