Smitha K.A1
, Sangeetha B2
, Ramu B.S3
, D.V Ashoka4
Section:Review Paper, Product Type: Conference Paper
Volume-04 ,
Issue-03 , Page no. 197-201, May-2016
Online published on Jun 07, 2016
Copyright © Smitha K.A, Sangeetha B, Ramu B.S, D.V Ashoka . 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: Smitha K.A, Sangeetha B, Ramu B.S, D.V Ashoka, “A Survey on the Small Data,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.03, pp.197-201, 2016.
MLA Style Citation: Smitha K.A, Sangeetha B, Ramu B.S, D.V Ashoka "A Survey on the Small Data." International Journal of Computer Sciences and Engineering 04.03 (2016): 197-201.
APA Style Citation: Smitha K.A, Sangeetha B, Ramu B.S, D.V Ashoka, (2016). A Survey on the Small Data. International Journal of Computer Sciences and Engineering, 04(03), 197-201.
BibTex Style Citation:
@article{K.A_2016,
author = { Smitha K.A, Sangeetha B, Ramu B.S, D.V Ashoka},
title = {A Survey on the Small Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {04},
Issue = {03},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {197-201},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=92},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=92
TI - A Survey on the Small Data
T2 - International Journal of Computer Sciences and Engineering
AU - Smitha K.A, Sangeetha B, Ramu B.S, D.V Ashoka
PY - 2016
DA - 2016/06/07
PB - IJCSE, Indore, INDIA
SP - 197-201
IS - 03
VL - 04
SN - 2347-2693
ER -
Small data deals with data that is small in size for human comprehension. About one quarter of the human brain is involved in visual processing and the only way to comprehend "big data" is to reduce them to small, this data can be informative, accessible and actionable. Small data typically provides information that answers a specific question or addresses a specific problem. This paper highlights the concept of small data and explains how to overcome the difficulties of big data. Small data is about placing the small datasets where it is actually needed. By considering the data of any size solves a specific problem, instead of the massive data which does not solve the problem.
Big data, Geographical Information System (GIS), Internet of Things (IoT), FOG computation
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[14] P. Amuthabala, “OUTLOOK ON VARIOUS SCHEDULING APPROACHES IN HADOOP”, International Journal on Computer Science and Engineering (IJCSE), ISSN: 0975-3397 Vol. 8 No.2 Feb 2016
