Big Data and Analytics: Issues and Challenges for the Past and Next Ten Years

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dc.contributor.authorKaisler, Stephen
dc.contributor.authorEspinosa, J. Alberto
dc.contributor.authorMoney, William
dc.contributor.authorArmour, Frank
dc.date.accessioned2022-12-27T18:55:27Z
dc.date.available2022-12-27T18:55:27Z
dc.date.issued2023-01-03
dc.description.abstractIn this paper we continue the minitrack series of papers recognizing issues and challenges identified in the field of Big Data and Analytics, from the past and going forward. As this field has evolved, it has begun to encompass other analytical regimes, notably AI/ML systems. In this paper we focus on two areas: continuing main issues for which some progress has been made and new and emerging issues which we believe form the basis for near-term and future research in Big Data and Analytics. The Bottom Line: Big Data and Analytics is healthy, is growing in scope and evolving in capability, and is finding applicability in more problem domains than ever before.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.101
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.otherab657907-34f6-47ea-a385-f8f720f1b9b0
dc.identifier.urihttps://hdl.handle.net/10125/102730
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th 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.subjectbig data
dc.subjectchallenges
dc.subjectfuture activities
dc.subjectissues
dc.titleBig Data and Analytics: Issues and Challenges for the Past and Next Ten Years
dc.type.dcmitext
prism.startingpage805

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Big Data and Analytics: Pathways to Maturity