Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7064
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dc.contributor.authorRabhi, Fethi-
dc.contributor.authorBandara, Madhushi-
dc.contributor.authorNamvar, Anahita-
dc.contributor.authorDemirörs, Onur-
dc.date.accessioned2018-12-24T13:22:07Z-
dc.date.available2018-12-24T13:22:07Z-
dc.date.issued2018-
dc.identifier.citationRabhi, F., Bandara, M., Namvar, A., and Demirörs, O. (2018). Big data analytics has little to do with analytics. In A. Beheshti, M. Hashmi, H. Dong, and W. E. Zhang (Eds.), Service research and innovation, (pp. 3-17). Cham: Springer. doi:10.1007/978-3-319-76587-7_1en_US
dc.identifier.isbn978-3-319-76586-0-
dc.identifier.urihttps://doi.org/10.1007/978-3-319-76587-7_1-
dc.identifier.urihttp://hdl.handle.net/11147/7064-
dc.description6th Australasian Symposium on Service Research and Innovation, ASSRI 2017; Sydney, NSW; Australia; 19 October 2017 through 20 October 2017en_US
dc.description.abstractAs big data analytics is adapted across multitude of domains and applications there is a need for new platforms and architectures that support analytic solution engineering as a lean and iterative process. In this paper we discuss how different software development processes can be adapted to data analytic process engineering, incorporating service oriented architecture, scientific workflows, model driven engineering and semantic technology. Based on the experience obtained through ADAGE framework [1] and the findings of the survey on how semantic modeling is used for data analytic solution engineering [6], we propose two research directions - big data analytic development lifecycle and data analytic knowledge management for lean and flexible data analytic platforms.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAustralian Symposium on Service Research and Innovation, ASSRI 2015en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnalytic life cycleen_US
dc.subjectData analytic processen_US
dc.subjectKnowledge modellingen_US
dc.subjectSolution engineeringen_US
dc.titleBig data analytics has little to do with analyticsen_US
dc.typeConference Objecten_US
dc.institutionauthorDemirörs, Onur-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume234en_US
dc.identifier.startpage3en_US
dc.identifier.endpage17en_US
dc.identifier.scopus2-s2.0-85043571392en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/978-3-319-76587-7_1-
dc.relation.doi10.1007/978-3-319-76587-7_1en_US
dc.coverage.doi10.1007/978-3-319-76587-7_1en_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1en-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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