UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDA06008


Registration ID:
221491

Page Number

33-37

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Title

PRIVACY PRESERVING IN DATA MINING

Abstract

The collection and analysis of data are continuously growing due to the continuous introduction of data from various sources. This huge information has led to the advent of Big Data, Data Science and various other concepts. The analysis of such information is fostering businesses and contributing beneficially to the society in many different fields. However, this storage and flow of possibly sensitive data poses serious privacy concerns. Methods that allow the knowledge extraction from data, while preserving privacy, are known as privacy-preserving data mining (PPDM) techniques. Data mining produces a large amount of data that needs to be analyzed in order to extract useful information from it and gain knowledge. This data is vulnerable to data hackers and rough employees to take advantage of the situation and misuse the data. The privacy preservation is an important concern in data mining as secrecy of sensitive information must be maintained while sharing the data among different un-trusted parties. Privacy preserving data mining (PPDM) protects the privacy of sensitive data without losing the usability of the data. Various techniques have been introduced under PPDM to achieve this goal. This study describes about various techniques of privacy preserving in data mining. It also analyzes their advantages and limitations and comes up with a conclusion that a single technique does not exceed all the parameters such as performance, data utility, level of uncertainty, resistance to data mining algorithms and complexity.

Key Words

Data mining, Privacy Preserving, Big Data.

Cite This Article

"PRIVACY PRESERVING IN DATA MINING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.33-37, May 2019, Available :http://www.jetir.org/papers/JETIRDA06008.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 IN DATA MINING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp33-37, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06008.pdf

Publication Details

Published Paper ID: JETIRDA06008
Registration ID: 221491
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 33-37
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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