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Health Twitter Big Bata Management with Hadoop Framework

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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorCunha, João
dc.contributor.authorSilva, Catarina
dc.contributor.authorAntunes, Mário
dc.date.accessioned2025-12-15T16:19:39Z
dc.date.available2025-12-15T16:19:39Z
dc.date.issued2015
dc.descriptionConference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015, Vilamoura
dc.descriptionConference date 7 October 2015 - 9 October 2015
dc.description.abstractSocial media advancements and the rapid increase in volume and complexity of data generated by Internet services are becoming challenging not only technologically, but also in terms of application areas. Performance and availability of data processing are critical factors that need to be evaluated since conventional data processing mechanisms may not provide adequate support. Apache Hadoop with Mahout is a framework to storage and process data at large-scale, including different tools to distribute processing. It has been considered an effective tool currently used by both small and large businesses and corporations, like Google and Facebook, but also public and private healthcare institutions. Given its recent emergence and the increasing complexity of the associated technological issues, a variety of holistic framework solutions have been put forward for each specific application. In this work, we propose a generic functional architecture with Apache Hadoop framework and Mahout for handling, storing and analyzing big data that can be used in different scenarios. To demonstrate its value, we will show its features, advantages and applications on health Twitter data. We show that big health social data can generate important information, valuable both for common users and practitioners. Preliminary results of data analysis on Twitter health data using Apache Hadoop demonstrate the potential of the combination of these technologies.eng
dc.description.sponsorship
dc.identifier.citationJoão Cunha, Catarina Silva, Mário Antunes, Health Twitter Big Bata Management with Hadoop Framework, Procedia Computer Science, Volume 64, 2015, Pages 425-431, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2015.08.536.
dc.identifier.doi10.1016/j.procs.2015.08.536
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/15063
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S187705091502671X
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data
dc.subjectApache Hadoop
dc.subjectMahout
dc.subjectHealthcare
dc.subjectTwitter
dc.titleHealth Twitter Big Bata Management with Hadoop Frameworkeng
dc.title.alternativeConference on ENTERprise Information Systems / International Conference on Project MANagement / Conference on Health and Social Care Information Systems and Technologies, CENTERIS / ProjMAN / HCist 2015 October 7-9, 2015eng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage431
oaire.citation.startPage425
oaire.citation.titleProcedia Computer Science
oaire.citation.volume64
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSilva
person.familyNameAntunes
person.givenNameCatarina
person.givenNameMário
person.identifierR-000-NX4
person.identifier.ciencia-id1B19-3DDC-BE75
person.identifier.ciencia-idAF10-7EDD-5153
person.identifier.orcid0000-0002-5656-0061
person.identifier.orcid0000-0003-3448-6726
person.identifier.scopus-author-id25930820200
relation.isAuthorOfPublicationee28e079-5ca7-4842-9094-372c40f75c38
relation.isAuthorOfPublicatione3e87fb0-d1d6-44c3-985d-920a5560f8c1
relation.isAuthorOfPublication.latestForDiscoveryee28e079-5ca7-4842-9094-372c40f75c38

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