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Development of Privacy Preserving Clustering Process with Cost Minimization for Big Data Processing

S. Chitra1 , R. Bharanidharan2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 422-428, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.422428

Online published on Nov 30, 2018

Copyright © S. Chitra, R. Bharanidharan . 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: S. Chitra, R. Bharanidharan, “Development of Privacy Preserving Clustering Process with Cost Minimization for Big Data Processing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.422-428, 2018.

MLA Style Citation: S. Chitra, R. Bharanidharan "Development of Privacy Preserving Clustering Process with Cost Minimization for Big Data Processing." International Journal of Computer Sciences and Engineering 6.11 (2018): 422-428.

APA Style Citation: S. Chitra, R. Bharanidharan, (2018). Development of Privacy Preserving Clustering Process with Cost Minimization for Big Data Processing. International Journal of Computer Sciences and Engineering, 6(11), 422-428.

BibTex Style Citation:
@article{Chitra_2018,
author = {S. Chitra, R. Bharanidharan},
title = {Development of Privacy Preserving Clustering Process with Cost Minimization for Big Data Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {422-428},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3181},
doi = {https://doi.org/10.26438/ijcse/v6i11.422428}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.422428}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3181
TI - Development of Privacy Preserving Clustering Process with Cost Minimization for Big Data Processing
T2 - International Journal of Computer Sciences and Engineering
AU - S. Chitra, R. Bharanidharan
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 422-428
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

Unfathomable quantum of comprehensive private data is habitually gathered as the mutual exchange of the corresponding information has come as a shot in arm for a multitude of data mining applications. The related data extensively encompass the shopping trends, criminal records, medical history, credit records and so forth. It is true that the corresponding information has proved its mettle as a vital asset to the business entities and governmental organization for the purpose of taking prompt and perfect decisions by means of assessing the pertinent records. However, it has to be borne in mind that harsh privacy. With an eye on effectively addressing the corresponding thorny issues, in this document, an earnest endeavor is made to kick-start a novel clustering Probabilistic Possibility Fuzzy C Means Clustering (PFCM) approach viz. The Big data processing, in fact, involves the explosive expansion of demands on evaluation, storage, and transmission in data centers, thus leading to incredible working expenses to be borne by the data center providers. To achieve this, we introduce VSSFA and Map Reduce Framework in Cloud environment. In this thesis we deeply develop a privacy preserving clustering process with cost minimization for big data processing.

Key-Words / Index Term

Probabilistic Possibilistic Fuzzy C Means Clustering Algorithm, Neural Network, Privacy Preserving Data Mining, Fuzzy C-Means

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