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A Survey on Privacy Preserving Clustering
Abstract
Privacy Preserving Data Mining is one of the major research areas which protect the sensitive information during the mining process. In the process of data mining the data can be extracted from centralized environment or distributed environment. Privacy preserving techniques can be applied for the data in centralized environment as well as distributed environment. Privacy preserving process can also be applied on different data mining techniques like Association rule mining, clustering, classification etc. The main goal of this paper is to provide a survey on privacy preserving clustering in centralized environment which supports the individual privacy. This paper mainly presents different privacy preserving techniques used to protect the sensitive data during the clustering process of both numerical and categorical data.
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References
M. Naga Lakshmi , K.Sandhya Rani , “A Privacy Preserving Clustering Method Based on Fuzzy Approach and Random Rotation Perturbation”, publications of problems and Application in Engineering Research-Paper CSEA2012, Vol 04, Special Issue01; 2013.
B. Karthikeyan, G.Manikandan, V.Vaithiyanathan , “A Fuzzy based Approach For Privacy Preserving Clustering”, Journal of Theoretical and Applied Information Technology, Vol. 32 No. 2, 31st October 2011.
Ms. Shalini Lamba, Dr. Qamar Abbas, “A Model for Preserving Privacy of Sensitive Data”, International Journal of Technical research and Applications, e-ISSN: 2320-8163, Vol.1, isuue 3, August 2013, pp. 07-11.
Stanely R.M.Oliveira, Osmar R.Zaiane, “Revisiting Privacy Preserving Clustering by Data Transfrmation”, Journal of Information and Data Management, Vol. 1, No. 1, February 2010.
C. saranya, G. Manikandan, “ A Study on Normalization Techniques for Privacy Preserving Data Mining”, International Journal of Engineering and Technology”, Vol 5 No 3 Jun- Jul 2013 , ISSN: 0975-4024.
Alaa H Al-Hamami, Suhad Abu Shehab, “An Approach for Preserving Privacy and Knowledge in Data Mining Applications”, Journal of Emerging Trends in Computing and Information Sciences, Vol.4, No 1 Jan 2013, ISSN 2079-8407.
D.Aruna Kumari, Dr.Rajasekhara Rao, M.Suman, “Vector Quantization for Privacy Preserving Clustering in Data Mining”, Advanced Computing: An international Journal , Vol.3, No.6, Novemeber 2012.
S.R.M. Oliveira and O.R. Zaiane, “Achieving Privacy Preservation When Data Sharing Data for Clustering”, proc.SDM, 2004, pp.67-82.
A.Mohaisen and D.Hong, “Mitigating the ICA Attack against Rotation-Based Transformation for privacy preserving Clustering”, ETRI J., Vol.30, no 6, 2008, pp 868-870.
Dowon Hong and Abedelaziz Mohaisen, Augumented Rotation-Based Transformation for Privacy-Preserving Data Clustering”, ETRIJournal, Volume 32, Number 3, June 2010.
S.Vijayarani, Dr.A.Tamilarasi, “Bit Transoformation Perturbative Masking Technique for Protecting Sensitive Information in Privacy Preserving Data Mining”, International Journal of Database Management systems (IJDMS), Vol.2, No.4, November 2010.
Kiran P and Kavya N P , “SW-SDF based privacy preserving for k-means clustering”, International Journal of Scientific and Engineering Research,Vol. 4, Issue 6, June 2013.
Khatri Nishanth P,Ms.Preeti Gupta,Tusal Patel, “Privacy Preserving Clustering on Centralized data through scaling transformation”, Internal Journal of computer engineering and technology,Vol.4,issue 3,May-June 2013 pp 449-454,ISSN 0976-6367(print).
Stanley Oliveira, Osmar R.Zaiane, “Privacy Preserving Clustering by Object Similarity-Based Representation and Dimensionality Reduction Transformation”.
M.Nagalaksmi, K.Sandhya Rani, “Privacy preserving Clustering based on Discrete Cosine Transformation”, International Journal of Innovative Research in Science, Engineering and Technology, Vol.2, issue 9, September 2013.
Dnyaneshwar Pandurang Naik, Anjana N.Ghule, “An Advanced Data Transformation Algorithm for Categorical Data Protection”, International Journal of Computer Science and Information Technologies,Vol. 4(6),2013
R.R Rajalaxmi and A.M.Natarajan, “ An Effective Data Transformation Approach for Privacy Preserving Clustering”, Journal of Computer Science 4, ISSN 1549-3636, 2008 Science Publications.
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