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Title: :  A Review on ‘Privacy Preservation Data Mining’
PaperId: :  7479
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 2 2018
DUI:    16.0415/IJARIIE-7479
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shivangi ModhiyaG.H.Patel College of Engineering & Technology
Jay ValaG.H.Patel College of Engineering & Technology
Prem BalaniG.H.Patel College of Engineering & Technology

Abstract

Computer Engineering
Data Mining, Cryptography, Randomization, Quasi Attribute, Sensitive Attribute, perturbation data mining, privacy preservation, Slicing.
Privacy Preserving Data Mining (PPDM) is used to mine the potential valuable knowledge without revealing the personal information of the individuals. Now a days due to data privacy has become a major concern as quasi and sensitive attribute in terms of privacy needs a lot of research existing researches on privacy of quasi and sensitive attribute are time consuming and also are not space efficient so by this research to trying different techniques used in various papers for establish that which method is more convenient. It is often highly valuable for organizations to have their data analyzed by external agents.. In the era of information society, sharing and publishing data has been a common practice for their wealth of opportunities. However, the process of data collection and data distribution may lead to disclosure of their privacy. Privacy is necessary to conceal private information before it is shared, exchanged or published. PPDM has thus has received a significant amount of attention in the research literature in the recent years. Various methods have been proposed to achieve the expected goal. In this paper we have given a brief discussion on different dimensions of classification of privacy preservation techniques.

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IJARIIE Shivangi Modhiya, Jay Vala, and Prem Balani. "A Review on ‘Privacy Preservation Data Mining’" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 2 2018 Page 160-164
MLA Shivangi Modhiya, Jay Vala, and Prem Balani. "A Review on ‘Privacy Preservation Data Mining’." International Journal Of Advance Research And Innovative Ideas In Education 4.2(2018) : 160-164.
APA Shivangi Modhiya, Jay Vala, & Prem Balani. (2018). A Review on ‘Privacy Preservation Data Mining’. International Journal Of Advance Research And Innovative Ideas In Education, 4(2), 160-164.
Chicago Shivangi Modhiya, Jay Vala, and Prem Balani. "A Review on ‘Privacy Preservation Data Mining’." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 2 (2018) : 160-164.
Oxford Shivangi Modhiya, Jay Vala, and Prem Balani. 'A Review on ‘Privacy Preservation Data Mining’', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, 2018, p. 160-164. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Review_on__‘Privacy_Preservation_Data_Mining’_ijariie7479.pdf (Accessed : 21 August 2024).
Harvard Shivangi Modhiya, Jay Vala, and Prem Balani. (2018) 'A Review on ‘Privacy Preservation Data Mining’', International Journal Of Advance Research And Innovative Ideas In Education, 4(2), pp. 160-164IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Review_on__‘Privacy_Preservation_Data_Mining’_ijariie7479.pdf (Accessed : 21 August 2024)
IEEE Shivangi Modhiya, Jay Vala, and Prem Balani, "A Review on ‘Privacy Preservation Data Mining’," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, pp. 160-164, Mar-App 2018. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Review_on__‘Privacy_Preservation_Data_Mining’_ijariie7479.pdf [Accessed : 21 August 2024].
Turabian Shivangi Modhiya, Jay Vala, and Prem Balani. "A Review on ‘Privacy Preservation Data Mining’." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 2 (21 August 2024).
Vancouver Shivangi Modhiya, Jay Vala, and Prem Balani. A Review on ‘Privacy Preservation Data Mining’. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 21 August 2024]; 4(2) : 160-164. Available from: https://ijariie.com/AdminUploadPdf/A_Review_on__‘Privacy_Preservation_Data_Mining’_ijariie7479.pdf
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