Big data and machine learning in geoscience and geoengineering:Introduction

查看全文 作　　者：Wengang [1]Zhang;Jianye [2]Ching;Anthony [3]T.C.Goh;Andy [4]Y.F.Leung

机构地区：[1]School of Civil Engineering,Chongqing University,Chongqing 400045,China;[2]Department of Civil Engineering,National Taiwan University,Chinese Taipei;[3]School of Civil and Environmental Engineering,Nanyang Technological University,Singapore;[4]Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong,China

出　　处：《Geoscience Frontiers》索引2021年第12卷第1期,共3页

摘　　要：In recent years,we have entered the so-called Fourth Paradigm with the regular production of huge amount of observational data.Big data is often characterized by the three‘V's:Volume of data,Variety and Velocity.The concept of big data can potentially address some existing issues in areas of geoscience and geoengineering.Large-scale,comprehensive,multidirectional and multifield geotechnical monitoring is becoming a reality in the very near future. 关键词：BECOMING engineering. VELOCITY

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Big data and machine learning in geoscience and geoengineering:Introduction

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