UGC Approved Journal no 63975

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDC06044


Registration ID:
221875

Page Number

244-249

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Title

IMPLEMENTATION OF BIG DATA ANALYSIS ON POPULATION GROWTH IN GOVERNMENT SECTOR

Abstract

In this paper we are going to predict the population growth of India for the year 2021. This journal is a kind of survey that makes predictions of the population in 2021 using the available big data. Also, the paper has incorporated various data preparation, survey and also has some critical applications for government sector. In general, the census survey in India is taken in a period of once in 10 years, so this journal aims to predict the population approximately on the basis of big data, well in advance of the government survey.

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"IMPLEMENTATION OF BIG DATA ANALYSIS ON POPULATION GROWTH IN GOVERNMENT SECTOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.244-249, June 2019, Available :http://www.jetir.org/papers/JETIRDC06044.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

"IMPLEMENTATION OF BIG DATA ANALYSIS ON POPULATION GROWTH IN GOVERNMENT SECTOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp244-249, June 2019, Available at : http://www.jetir.org/papers/JETIRDC06044.pdf

Publication Details

Published Paper ID: JETIRDC06044
Registration ID: 221875
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 244-249
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162


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