A brief survey on privacy preserving data mining techniques

Nethravathi, N.P. and Vaibhav Desai, J. and Deepa Shenoy, P. and Indiramma, M. and Venugopal, K.R. (2016) A brief survey on privacy preserving data mining techniques. Data Mining and Knowledge Engineering, 8 (9). pp. 267-273.

Full text not available from this repository.


With the onset of the digital revolution, organizations are increasingly maintaining a huge amount of information on their databases and use data mining tools to extract useful information for their business intelligence. The problem with the availability of the digital information is the scarce privacy leakage. In many business domains, leakage of personal information of the client either directly or through data mining tools can lead to loss of competitive edge of the company, loss of revenue and customer churn. Companies are pushing for encryption and other data transformation methods to keep the data private. But mining tools which invoke algorithms like clustering, classification etc. may not work properly on the transformed data. In this paper, we analyze the privacy preserving data mining solutions and privacy leakage in them through indirect means. The main objective of this paper is to identify the open areas of …

Item Type: Article
Uncontrolled Keywords: Transformation Strategy, Privacy Preserving Data Mining, Cryptography, Wavelet Transformation, Correlation Analysis.
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 16 Sep 2021 07:17
Last Modified: 16 Sep 2021 07:17
URI: http://eprints-bangaloreuniversity.in/id/eprint/9604

Actions (login required)

View Item View Item