Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorKoseleva, Natalija
dc.contributor.authorRopaitė, Guoda
dc.date.accessioned2025-05-05T13:05:56Z
dc.date.available2025-05-05T13:05:56Z
dc.date.issued2017
dc.identifier.issn1877-7058en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/157504
dc.description.abstractData 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 important thing to make different decisions. One of the important sectors nowadays is construction sector, especially building energy efficiency field. Collecting big amount of data, using different kinds of big data analysis can help to improve construction process from the energy efficiency perspective. This article reviews the understanding of Big Data, methods used for Big Data analysis and the main problems with Big Data in the field of energy.en_US
dc.format.extent6 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/157277en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S1877705817305702en_US
dc.subjectenergy efficiencyen_US
dc.subjectbig dataen_US
dc.subjectCharacteristics of Big Dataen_US
dc.subjectBig Data analysisen_US
dc.subjectconstructionen_US
dc.subjectWeb of Scienceen_US
dc.titleBig data in building energy efficiency: understanding of big data and main challengesen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.licenseCC BY NC NDen_US
dcterms.references12en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeK1a - Monografija / Monographen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineeringen_US
dcterms.sourcetitleProcedia Engineeringen_US
dc.description.volumevol. 172en_US
dc.publisher.nameElsevieren_US
dc.publisher.countryUnited Kingdomen_US
dc.publisher.cityOxforden_US
dc.identifier.doihttps://doi.org/10.1016/j.proeng.2017.02.064en_US


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Rodyti trumpą aprašą

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