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An Analysis on Data Mining Processes on Big Data Framework

M.Sharmila Begamr1 , N.Vetrivelanr 2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-12 , Page no. 76-79, Dec-2014

Online published on Dec 31, 2014

Copyright © M.Sharmila Begamr , N.Vetrivelanr . 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: M.Sharmila Begamr , N.Vetrivelanr, “An Analysis on Data Mining Processes on Big Data Framework,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.12, pp.76-79, 2014.

MLA Style Citation: M.Sharmila Begamr , N.Vetrivelanr "An Analysis on Data Mining Processes on Big Data Framework." International Journal of Computer Sciences and Engineering 2.12 (2014): 76-79.

APA Style Citation: M.Sharmila Begamr , N.Vetrivelanr, (2014). An Analysis on Data Mining Processes on Big Data Framework. International Journal of Computer Sciences and Engineering, 2(12), 76-79.

BibTex Style Citation:
@article{Begamr_2014,
author = {M.Sharmila Begamr , N.Vetrivelanr},
title = {An Analysis on Data Mining Processes on Big Data Framework},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2014},
volume = {2},
Issue = {12},
month = {12},
year = {2014},
issn = {2347-2693},
pages = {76-79},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=337},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=337
TI - An Analysis on Data Mining Processes on Big Data Framework
T2 - International Journal of Computer Sciences and Engineering
AU - M.Sharmila Begamr , N.Vetrivelanr
PY - 2014
DA - 2014/12/31
PB - IJCSE, Indore, INDIA
SP - 76-79
IS - 12
VL - 2
SN - 2347-2693
ER -

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Abstract

Apache HADOOP is a major novelty in the IT market household last decade. From modest early stages Apache HADOOP has develop a world-wide receipt in figures centers. It brings like dispensation in pointers of regular programmer. As additional figures middles ropes HADOOP platform, it develops authoritative to travel present figures removal procedures onto HADOOP stage for augmented like dispensation efficiency. By the outline of big figures analytics, This trend of transfer of the present figures removal procedures to HADOOP stage has develop rampant. In this review paper, we discover the present transfer doings and tests in migration. This newspaper will leader the booklovers to suggest answers for the present tests in the migration.

Key-Words / Index Term

Datamining, Hadoop, Big data

References

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