dc.contributor.author | Kaplinski, Oleg | |
dc.contributor.author | Košeleva, Natalija | |
dc.contributor.author | Ropaitė, Guoda | |
dc.date.accessioned | 2023-09-18T16:48:38Z | |
dc.date.available | 2023-09-18T16:48:38Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 2029-882X | |
dc.identifier.other | (BIS)VGT02-000033106 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/117121 | |
dc.description.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. | eng |
dc.format | PDF | |
dc.format.extent | p. 165-175 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Gale's Academic OneFile | |
dc.relation.isreferencedby | Index Copernicus | |
dc.relation.isreferencedby | ICONDA | |
dc.source.uri | http://dx.doi.org/10.3846/2029882X.2016.1257373 | |
dc.subject | SD04 - Tvarus statinių gyvavimo ciklas / Sustainable lifecycle of the buildings | |
dc.title | Big Data in civil engineering: a state-of-the-art survey | |
dc.type | Straipsnis kitoje DB / Article in other DB | |
dcterms.references | 140 | |
dc.type.pubtype | S3 - Straipsnis kitoje DB / Article in other DB | |
dc.contributor.institution | Poznan university of technology | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | Engineering | |
dc.subject.en | Big Data | |
dc.subject.en | Web of Science | |
dcterms.sourcetitle | Engineering structures and technologies | |
dc.description.issue | no. 4 | |
dc.description.volume | Vol. 8 | |
dc.publisher.name | Technika; Taylor & Francis | |
dc.publisher.city | Vilnius; London | |
dc.identifier.doi | 10.3846/2029882X.2016.1257373 | |
dc.identifier.elaba | 20207125 | |