Analytics Morphology and Transformation

dc.contributor.authorKaisler, Stephen
dc.contributor.authorMoney, William
dc.contributor.authorEspinosa, J. Alberto
dc.contributor.authorArmour, Frank
dc.date.accessioned2023-12-26T18:36:31Z
dc.date.available2023-12-26T18:36:31Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.108
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other30bc8b14-b8d8-47cf-bd53-523243a67f24
dc.identifier.urihttps://hdl.handle.net/10125/106485
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data and Analytics: Pathways to Maturity
dc.subjectanalytics
dc.subjecttaxonoomy
dc.subjecttransformations
dc.titleAnalytics Morphology and Transformation
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractEarlier research in Big Data and Analytics led to the development of an analytic class taxonomy which organized analytics by application area. Further research motivated a need for better descriptions and a realization that analytics have many variations based on implementations for specific platforms. The authors realized that transformations of an analytic from one form to another could yield improvements in performance, space utilization, and other attributes. This paper examines analytic forms and the transformations among them with the goal of documenting them in a comprehensive manner. It proposes the development of an Analytics Catalog as a mechanism for documenting analytics classes, their membership, and the transformations among forms.
dcterms.extent10 pages
prism.startingpage893

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