University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Supervised machine-learning predictive analytics for national quality of life scoring

dc.contributor.authorKaur, Maninder
dc.contributor.authorDhalaria, Meghna
dc.contributor.authorSharma, Pradip Kumar
dc.contributor.authorPark, Jong Hyuk
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Cybersecurity and Privacyen
dc.date.accessioned2020-08-13T16:20:01Z
dc.date.available2020-08-13T16:20:01Z
dc.date.issued2019-04-18
dc.description.statusPeer revieweden
dc.format.extent15
dc.format.extent1775860
dc.identifier171373485
dc.identifierba625ee0-0f1b-4b69-be46-4d8673403137
dc.identifier85067091839
dc.identifier.citationKaur, M, Dhalaria, M, Sharma, P K & Park, J H 2019, 'Supervised machine-learning predictive analytics for national quality of life scoring', Applied Sciences (Switzerland), vol. 9, no. 8, 1613. https://doi.org/10.3390/app9081613en
dc.identifier.doi10.3390/app9081613
dc.identifier.iss8en
dc.identifier.issn2076-3417
dc.identifier.otherORCID: /0000-0001-6620-9083/work/79063615
dc.identifier.urihttps://hdl.handle.net/2164/14920
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85067091839&partnerID=8YFLogxKen
dc.identifier.vol9en
dc.language.isoeng
dc.relation.ispartofApplied Sciences (Switzerland)en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectBaggingen
dc.subjectBetter Life Indexen
dc.subjectEnsemble learningen
dc.subjectMachine-learningen
dc.subjectQuality of lifeen
dc.subjectQ Scienceen
dc.subjectGeneral Materials Scienceen
dc.subjectInstrumentationen
dc.subjectGeneral Engineeringen
dc.subjectProcess Chemistry and Technologyen
dc.subjectComputer Science Applicationsen
dc.subjectFluid Flow and Transfer Processesen
dc.subject.lccQen
dc.titleSupervised machine-learning predictive analytics for national quality of life scoringen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Kaur_etal_applsci_Supervised_VOR.pdf
Size:
1.69 MB
Format:
Adobe Portable Document Format

Collections