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Privacy Preserving Data Mining Techniques in a Distributed Environment
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 94 - Number 6 |
| Year of Publication: 2014 |
| Authors: Mona Shah, Hiren D. Joshi |
10.5120/16347-5687
|
Mona Shah, Hiren D. Joshi . Privacy Preserving Data Mining Techniques in a Distributed Environment. International Journal of Computer Applications. 94, 6 ( May 2014), 21-27. DOI=10.5120/16347-5687
Abstract
Data storing and retrieving has been important since decades in the world of information. It makes this process prolific, when the retrieved information becomes smartly meaningful. Data mining is this new flavor. In the recent years data mining is a wide spread and active area of research. Its meaningfulness has gained momentum due to its vast area of applications. One of the popular and potential sub-areas of data mining is preserving privacy while mining. Data mining tools bring a factor of threat to the data under study for subjects like medical history, banking/credit card details, judicial matters and a few more. In such sectors, the data can be sensitive and personal. Protecting such data becomes the key factor during the process of mining. Here is an attempt to study the techniques used to address the issue of privacy preserving data mining in a distributed database environment in the last decade.
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