{"title":"土木工程中的大数据:最先进的调查","authors":"O. Kapliński, Natalija Koseleva, Guoda Ropaitė","doi":"10.3846/2029882X.2016.1257373","DOIUrl":null,"url":null,"abstract":"Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency.","PeriodicalId":11839,"journal":{"name":"Engineering Structures and Technologies","volume":"8 1","pages":"165-175"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3846/2029882X.2016.1257373","citationCount":"18","resultStr":"{\"title\":\"Big Data in civil engineering: a state-of-the-art survey\",\"authors\":\"O. Kapliński, Natalija Koseleva, Guoda Ropaitė\",\"doi\":\"10.3846/2029882X.2016.1257373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency.\",\"PeriodicalId\":11839,\"journal\":{\"name\":\"Engineering Structures and Technologies\",\"volume\":\"8 1\",\"pages\":\"165-175\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3846/2029882X.2016.1257373\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Structures and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3846/2029882X.2016.1257373\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Structures and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3846/2029882X.2016.1257373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
摘要
数据生成在过去几年中急剧增加。数据管理的重要性也在增加,因为在做出不同决策时,从大量原始数据中提取重要价值是最重要的。本文回顾了大数据的概念。使用汤森路透Web of Science核心馆藏学术数据库来概述包含“大数据”关键字的出版物,并将其包含在Web of Science类别的“工程”项下。对出版物的分析是根据年份、国家、期刊、作者、语言和资助机构进行的。
Big Data in civil engineering: a state-of-the-art survey
Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency.