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A Novel Algorithm for Big Data Clustering

Vishal Kumar Gujare1 , Pravin Malviya2

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-8 , Page no. 38-40, Aug-2016

Online published on Aug 31, 2016

Copyright © Vishal Kumar Gujare, Pravin Malviya . 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: Vishal Kumar Gujare, Pravin Malviya, “A Novel Algorithm for Big Data Clustering,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.38-40, 2016.

MLA Style Citation: Vishal Kumar Gujare, Pravin Malviya "A Novel Algorithm for Big Data Clustering." International Journal of Computer Sciences and Engineering 4.8 (2016): 38-40.

APA Style Citation: Vishal Kumar Gujare, Pravin Malviya, (2016). A Novel Algorithm for Big Data Clustering. International Journal of Computer Sciences and Engineering, 4(8), 38-40.

BibTex Style Citation:
@article{Gujare_2016,
author = {Vishal Kumar Gujare, Pravin Malviya},
title = {A Novel Algorithm for Big Data Clustering},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2016},
volume = {4},
Issue = {8},
month = {8},
year = {2016},
issn = {2347-2693},
pages = {38-40},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1029},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1029
TI - A Novel Algorithm for Big Data Clustering
T2 - International Journal of Computer Sciences and Engineering
AU - Vishal Kumar Gujare, Pravin Malviya
PY - 2016
DA - 2016/08/31
PB - IJCSE, Indore, INDIA
SP - 38-40
IS - 8
VL - 4
SN - 2347-2693
ER -

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Abstract

Now a day, large amounts of heterogeneous digital data is available this big data need to be carefully examined for analysis point of view. Big data is nothing but a large volume of heterogeneous and distributed data collection. In real world big data applications has contain huge amount of continuously grow able data but it is very costly to clean up, extract , manage and process data using present software tools. Fast and accurate retrieval of the relevant information from dataset has always been a significant issue. Prominent and accurate data clustering is a main task of exploratory data analysis and data mining applications. Clustering process is one of the data mining techniques for dividing informative dataset into group and it is a kind of unsupervised data mining technique.

Key-Words / Index Term

Big data, Clustering, Data Mining

References

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