An overview of quality attributes for data intensive systems in crisis informatics

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dc.authorscopusid56727581600
dc.contributor.authorAydin A.A.
dc.date.accessioned2024-08-04T20:03:56Z
dc.date.available2024-08-04T20:03:56Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012en_US
dc.description.abstractIn today's digital world, we have been exposed by tremendous amounts of data generated by numerous sources and the developers of data intensive systems are confronted with the challenges of collecting, analyzing and storing large amounts of data. Dealing with those challenges and designing software systems provides demanded set of quality attributes require engaging with sophisticated approaches, developing clever techniques, and carefully making use of cutting edge technologies. In this paper, first, an outline of crisis informatics research and crisis management phases are introduced, next, an overview of quality attributes for data intensive systems is presented, last, a classification of frequently demanded quality attributes for crisis data intensive system is provided by taking into account crisis management phases and the type of data analytics performed. © 2017 IEEE.en_US
dc.description.sponsorshipNational Science Foundation, NSF: IIS-0910586; National Stroke Foundation, NSFen_US
dc.description.sponsorshipThis material is based upon work sponsored by the NSF under Grant IIS-0910586.en_US
dc.identifier.doi10.1109/IDAP.2017.8090230
dc.identifier.isbn9781538618806
dc.identifier.scopus2-s2.0-85039904241en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2017.8090230
dc.identifier.urihttps://hdl.handle.net/11616/92225
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIDAP 2017 - International Artificial Intelligence and Data Processing Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCrisis informaticsen_US
dc.subjectData intensive systemsen_US
dc.subjectQuality attributesen_US
dc.titleAn overview of quality attributes for data intensive systems in crisis informaticsen_US
dc.typeConference Objecten_US

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