UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 3
March-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2103092


Registration ID:
306667

Page Number

674-681

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Title

Review of BIG DATA analytics algorithms for Pandemic viruses

Abstract

Big data is a new technological paradigm for data that is produced at high speed, high volume, and with incredible variety. Big data is viewed as an insurgency that can change how organizations work in numerous ventures. Big data refers to large datasets, yet additionally high in assortment and speed, which makes them hard to deal with utilizing conventional apparatuses and methods. Such worth can be given utilizing huge information examination, which is the use of cutting-edge investigation methods on huge information. A virus is a sub tiny irresistible specialist that imitates just inside the living cells of a creature. More than 6,000 infection species have been portrayed in detail of the large numbers of sorts of infections in the climate. Infections are found in pretty much every environment on Earth and are the most various sorts of natural substance. The investigation of infections is known as virology, a sub-specialty of microbiology. This paper aims to analyze some of the various big data analytics algorithms and advanced pandemic viruses.

Key Words

Big Data, Pandemic Virus, Algorithms

Cite This Article

"Review of BIG DATA analytics algorithms for Pandemic viruses", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.674-681, March-2021, Available :http://www.jetir.org/papers/JETIR2103092.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Review of BIG DATA analytics algorithms for Pandemic viruses", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp674-681, March-2021, Available at : http://www.jetir.org/papers/JETIR2103092.pdf

Publication Details

Published Paper ID: JETIR2103092
Registration ID: 306667
Published In: Volume 8 | Issue 3 | Year March-2021
DOI (Digital Object Identifier):
Page No: 674-681
Country: Chennai, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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