Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/9243
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dc.contributor.authorKashyap, Ramgopal-
dc.contributor.authorPiersson, Albert Dayor-
dc.date.accessioned2023-10-11T11:30:42Z-
dc.date.available2023-10-11T11:30:42Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/123456789/9243-
dc.description.abstractBig data today is being investigated to find the bits of knowledge that prompt better choices and vital business moves. The data innovations are developing to a point in which an ever-increasing number of associations are set up to pilot and embrace big data as a center part of the data administration and examination framework. It is a range of research that is blasting yet at the same time confronts many difficulties in utilizing the esteem that information brings to the table. The battle against “spam informa- tion” and information quality is a pivotal issue. Big data challenges are discussed and some solutions are proposed because the volume of made information will surpass the capacity limits and will require cautious determination.en_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.titleBig Data Challenges and Solutions in the Medical Industriesen_US
dc.typeArticleen_US
Appears in Collections:School of Allied Health Sciences

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