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http://hdl.handle.net/123456789/9243
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DC Field | Value | Language |
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dc.contributor.author | Kashyap, Ramgopal | - |
dc.contributor.author | Piersson, Albert Dayor | - |
dc.date.accessioned | 2023-10-11T11:30:42Z | - |
dc.date.available | 2023-10-11T11:30:42Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/9243 | - |
dc.description.abstract | Big 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.iso | en | en_US |
dc.publisher | IGI Global | en_US |
dc.title | Big Data Challenges and Solutions in the Medical Industries | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Allied Health Sciences |
Files in This Item:
File | Description | Size | Format | |
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Big Data Challenges.pdf | Main article | 128.45 kB | Adobe PDF | View/Open |
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