UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1805475


Registration ID:
182333

Page Number

321-327

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Title

Factors Analysis of a predict Dengue using Big Data Analytics – A Review

Abstract

Due to technology the term data is replaced by transforming big data in many fields. Rapidly advancements in the technology causes cultivated data enter into the era of big data. Analytical Data helps to find the various vectors of diseases (Dengue) outbreak in a particular area. Traditional tools and techniques are unable to store and analyze this massive amount of data. With the help of Big data analytic is easy to identify the particular required data from huge amount of data. To achieve these objective different tools has been used. The data is collected, cleansed and normalized. Cleansing of data is done that is important information is extracted from unstructured redundant data. The main goal of big data Analytics with dengue is easy to find factors that are causing for outbreaks the disease; we have studied and identified some variable such as weather, rainfall, temperature and humidity for the cause of this disease.

Key Words

Big data, analytics, Dengue, Stages of dengue, Tools, Literature review

Cite This Article

"Factors Analysis of a predict Dengue using Big Data Analytics – A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.321-327, May-2018, Available :http://www.jetir.org/papers/JETIR1805475.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

"Factors Analysis of a predict Dengue using Big Data Analytics – A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp321-327, May-2018, Available at : http://www.jetir.org/papers/JETIR1805475.pdf

Publication Details

Published Paper ID: JETIR1805475
Registration ID: 182333
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 321-327
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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