Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/6335
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dc.contributor.authorIssath Jahan, M. U.-
dc.contributor.authorFaathima Fayaza, M. S.-
dc.date.accessioned2022-12-06T05:11:57Z-
dc.date.available2022-12-06T05:11:57Z-
dc.date.issued2022-08-24-
dc.identifier.citation2nd International Conference -2022(ICST2022) Proceedings on” Building Sustainable Future Through Technological Transformation “24th August 2022. Faculty of Technology, South Eastern University of Sri Lanka. pp. 34-39.en_US
dc.identifier.isbn978-624-5736-40-9-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/6335-
dc.description.abstractThe term "big data" describes datasets that are not only large but also have a high level of diversity and velocity, making it challenging to manage them with conventional tools and methods. Through enhancing decision-making and vision searching, the big data explosion is reshaping lifestyles in terms of working and thinking. This paper conducts an analysis of recent research and studies projects in a variety of sectors that make use of big data. This paper studies 45 previously published articles and conducted a systematic literature review. According to the survey, many fields achieve various benefits, mainly when they apply big data technology. Further, selected algorithms perform better with specific domain data. This paper summarizes the different techniques used in the various domains and their benefits. Also, the article discusses the limitations in this study and limitations in big data applications.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Technology, South Eastern University of Sri Lanka, Sri Lankaen_US
dc.subjectBig data analysisen_US
dc.subjectBig data applicationsen_US
dc.subjectBig data technologiesen_US
dc.titleBig data application analysis: a reviewen_US
dc.typeArticleen_US
Appears in Collections:2nd International Conference on Science and Technology

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