UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1810819


Registration ID:
190742

Page Number

252-257

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Title

Privacy Preserving of Outsourced Information by Eliminating Sensitive Items

Abstract

Data mining is really the procedure or strategy of finding designs in enormous databases This fundamental objective of the information mining process leads to issue of finding sensitive or secured items which harm individuals, organization, etc. Here set of rules are perturbed by finding relevant item session and eliminate sensitive item only. This type of elimination reduce the risk of the dataset as compared to other methods such as robfrugal. Analysis was done on genuine dataset. Results demonstrates that proposed work is better as contrast with different past methodologies on the premise of assessment parameters.

Key Words

Distributed Data, Data Mining, Encryption, Effective Pruning, Super class substitution.

Cite This Article

"Privacy Preserving of Outsourced Information by Eliminating Sensitive Items", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.252-257, October-2018, Available :http://www.jetir.org/papers/JETIR1810819.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Privacy Preserving of Outsourced Information by Eliminating Sensitive Items", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp252-257, October-2018, Available at : http://www.jetir.org/papers/JETIR1810819.pdf

Publication Details

Published Paper ID: JETIR1810819
Registration ID: 190742
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 252-257
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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