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A New Approach to Retrieve the Structured Data from a Big Data Set using R

Sumanta Ray1

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-01 , Page no. 280-282, Jan-2019

Online published on Jan 20, 2019

Copyright © Sumanta Ray . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sumanta Ray, “A New Approach to Retrieve the Structured Data from a Big Data Set using R,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.01, pp.280-282, 2019.

MLA Style Citation: Sumanta Ray "A New Approach to Retrieve the Structured Data from a Big Data Set using R." International Journal of Computer Sciences and Engineering 07.01 (2019): 280-282.

APA Style Citation: Sumanta Ray, (2019). A New Approach to Retrieve the Structured Data from a Big Data Set using R. International Journal of Computer Sciences and Engineering, 07(01), 280-282.

BibTex Style Citation:
@article{Ray_2019,
author = {Sumanta Ray},
title = {A New Approach to Retrieve the Structured Data from a Big Data Set using R},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {01},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {280-282},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=632},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=632
TI - A New Approach to Retrieve the Structured Data from a Big Data Set using R
T2 - International Journal of Computer Sciences and Engineering
AU - Sumanta Ray
PY - 2019
DA - 2019/01/20
PB - IJCSE, Indore, INDIA
SP - 280-282
IS - 01
VL - 07
SN - 2347-2693
ER -

           

Abstract

The present research paper computes a step-by-step approach to retrieve the requisite data from big data set, which is heterogeneous in nature. This is done by using R language. Also the process of cleaning, updating, sorting and merging dataset is been explained in this paper. We feel that the comprehensive idea of this research work will be helpful for the researchers, working in the area of big data analysis. Our main goal is to understand the R packages and commands used to analyze big data

Key-Words / Index Term

R language, SPSS, Big Data, R Packages, R Sql Statements, Classification Tree

References

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